Prudent Technologies and Consulting, Inc.
Nashville, Tennessee
Job Description Role: Data Engineer - Real-Time & Cloud Platforms Location :- Nashville, TN ( Onsite from day 1 ) Duration: Long Term Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform.
11/14/2026
Full time
Job Description Role: Data Engineer - Real-Time & Cloud Platforms Location :- Nashville, TN ( Onsite from day 1 ) Duration: Long Term Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform.
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
SUMMARY We are seeking a highly motivated MES Analyst with experience in food manufacturing and the Ignition platform or similar MES to support, enhance, and optimize manufacturing execution systems across production operations. This role will serve as a key technical resource responsible for MES configuration, data integration, production reporting, and continuous improvement initiatives within a regulated food manufacturing environment. The ideal candidate combines manufacturing systems expertise with strong operational knowledge of food production processes, traceability requirements, and industrial automation systems. This role is 100% onsite in Marlborough, MA. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: The MES Analyst will be responsible for overseeing the adoption/development/and support of Ken's Foods Manufacturing Execution System. This person will be tasked with being a subject matter expert on all facets of the system and work to ensure adoption and best practices across the organization. They will act as the key liaison between the corporate and plant floor teams, the technical development team, and the senior management team. They will work to provide training and assistance with the MES system. MES & Ignition Platform Support Administer, configure, and support the Ignition platform for manufacturing execution and operational visibility. Develop and maintain Ignition projects, including: Production dashboards Downtime tracking OEE monitoring Recipe management Electronic batch records Traceability applications Quality and production reporting Troubleshoot MES and Ignition-related issues affecting manufacturing operations. Manage system integrations between Ignition, PLCs, SCADA systems, historians, ERP systems, and databases. Support gateway administration, tag management, alarming, scripting, and user security within Ignition. Manufacturing & Operations Support Partner with operations, QA, maintenance, engineering, and IT teams to improve manufacturing efficiency and data accuracy. Analyze manufacturing data to identify trends, bottlenecks, downtime causes, and process improvement opportunities. Support digital transformation initiatives and plant-floor automation projects. Ensure MES functionality aligns with food safety, traceability, and regulatory compliance requirements. Assist in standardizing manufacturing processes across multiple production lines or facilities. Reporting & Data Management Create and maintain SQL queries, reports, KPIs, and production analytics. Develop real-time dashboards and visualizations for plant operations and leadership teams. Support historical data collection and reporting for audits, investigations, and compliance tracking. Validate manufacturing data integrity and troubleshoot data flow issues. Compliance & Documentation Maintain documentation for MES configurations, SOPs, workflows, validation protocols, and system changes. Support compliance with FDA, USDA, HACCP, SQF, GMP, and internal quality standards. Participate in change management, system testing, validation, and deployment activities. Assist with user training and development of work instructions. Required Qualifications • Deep understanding of Ignition or similar MES. • Understanding of manufacturing operations including batching, packaging, filling, mixing, and material traceability. • Familiarity with industrial automation systems and controls architecture. • Strong troubleshooting, analytical, and communication skills. • Lean Manufacturing or Six Sigma experience. • Experience supporting multi-site manufacturing operations. Education and/or Experience • Bachelor's degree in Engineering, Information Systems, Computer Science, Industrial Technology, Food Science, or related field. • 3+ years of MES, SCADA, or manufacturing systems experience in a production environment. • Hands-on experience with the Ignition platform by Inductive Automation or similar MES. • Experience in food and/or beverage manufacturing strongly preferred. Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $110K-135k annually.
11/14/2026
Full time
SUMMARY We are seeking a highly motivated MES Analyst with experience in food manufacturing and the Ignition platform or similar MES to support, enhance, and optimize manufacturing execution systems across production operations. This role will serve as a key technical resource responsible for MES configuration, data integration, production reporting, and continuous improvement initiatives within a regulated food manufacturing environment. The ideal candidate combines manufacturing systems expertise with strong operational knowledge of food production processes, traceability requirements, and industrial automation systems. This role is 100% onsite in Marlborough, MA. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: The MES Analyst will be responsible for overseeing the adoption/development/and support of Ken's Foods Manufacturing Execution System. This person will be tasked with being a subject matter expert on all facets of the system and work to ensure adoption and best practices across the organization. They will act as the key liaison between the corporate and plant floor teams, the technical development team, and the senior management team. They will work to provide training and assistance with the MES system. MES & Ignition Platform Support Administer, configure, and support the Ignition platform for manufacturing execution and operational visibility. Develop and maintain Ignition projects, including: Production dashboards Downtime tracking OEE monitoring Recipe management Electronic batch records Traceability applications Quality and production reporting Troubleshoot MES and Ignition-related issues affecting manufacturing operations. Manage system integrations between Ignition, PLCs, SCADA systems, historians, ERP systems, and databases. Support gateway administration, tag management, alarming, scripting, and user security within Ignition. Manufacturing & Operations Support Partner with operations, QA, maintenance, engineering, and IT teams to improve manufacturing efficiency and data accuracy. Analyze manufacturing data to identify trends, bottlenecks, downtime causes, and process improvement opportunities. Support digital transformation initiatives and plant-floor automation projects. Ensure MES functionality aligns with food safety, traceability, and regulatory compliance requirements. Assist in standardizing manufacturing processes across multiple production lines or facilities. Reporting & Data Management Create and maintain SQL queries, reports, KPIs, and production analytics. Develop real-time dashboards and visualizations for plant operations and leadership teams. Support historical data collection and reporting for audits, investigations, and compliance tracking. Validate manufacturing data integrity and troubleshoot data flow issues. Compliance & Documentation Maintain documentation for MES configurations, SOPs, workflows, validation protocols, and system changes. Support compliance with FDA, USDA, HACCP, SQF, GMP, and internal quality standards. Participate in change management, system testing, validation, and deployment activities. Assist with user training and development of work instructions. Required Qualifications • Deep understanding of Ignition or similar MES. • Understanding of manufacturing operations including batching, packaging, filling, mixing, and material traceability. • Familiarity with industrial automation systems and controls architecture. • Strong troubleshooting, analytical, and communication skills. • Lean Manufacturing or Six Sigma experience. • Experience supporting multi-site manufacturing operations. Education and/or Experience • Bachelor's degree in Engineering, Information Systems, Computer Science, Industrial Technology, Food Science, or related field. • 3+ years of MES, SCADA, or manufacturing systems experience in a production environment. • Hands-on experience with the Ignition platform by Inductive Automation or similar MES. • Experience in food and/or beverage manufacturing strongly preferred. Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $110K-135k annually.
Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details
11/14/2026
Full time
Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details
Genesis10 is currently seeking a Lead/Senior Software Engineer - Remote for a contract position with an Agricultural Cooperative located in Inver Grove Heights, MN. This is a 9+ month contract opportunity. Compensation: $91.00 - $94.00 per hour, W2, based on qualifications Position Overview: In this role, you will design and deliver secure, scalable web and mobile applications, integrate identity and access management solutions using Okta, and manage cloud infrastructure through infrastructure as code using Terraform. You will collaborate with a talented team and make a measurable impact on the digital experience of our client's customers. The ideal candidate has strong technical expertise, excellent communication skills, and the ability to work collaboratively and independently. Key Responsibilities: Provide technical leadership to team, assist in work breakdown, and guide system design, keeping product outcomes, technical goals, and customer needs in mind Design, prototype, refine, and implement solutions to complex business and technical problems, considering system capacity, security, performance, maintainability, and desired outcomes Develop and support customer-facing applications using .NET, C#, Angular, and related web technologies Implement and support secure authentication and authorization using Okta, including application integrations, single sign-on (SSO), and standards such as OpenID Connect (OIDC) and OAuth 2.0 Develop and maintain Terraform configurations to provision and manage cloud infrastructure consistently across environments Collaborate with architecture, security, and platform teams to align application integrations and infrastructure automation with established standards and best practices Experience in preventing vulnerabilities from being integrated into products from 3rd party tools Stay current with web technologies and recommend improvements to application architecture, development practices, and engineering tools Collaborate with business stakeholders, subject matter experts, business analysts, quality assurance personnel, architects, and technical leads to deliver effective solutions Troubleshoot and resolve complex application, identity integration, and infrastructure issues Mentor less experienced software engineers and conduct code reviews to promote quality, security, and maintainability Participate in scheduled and unscheduled weekend or after-hours maintenance, support, and on-call duties as needed Primary Requirements: 10+ years of software development experience with web technologies, middleware, and backend databases Strong development skills in .NET, C#, Angular 16 or later, TypeScript, CSS, and/or Sass Hands-on experience integrating applications with Okta for authentication and authorization, including familiarity with SSO, OIDC, SAML, and OAuth 2.0 Hands-on experience AWS and using Terraform to provision and manage cloud infrastructure, including working with reusable configurations and infrastructure state Experience identifying and applying common software design patterns to build modular, maintainable, and scalable applications Understanding of interactive design principles and attention to technical and visual detail Comprehensive knowledge of the Software Development Life Cycle Demonstrated ability to troubleshoot and resolve complex technical issues Experience developing mobile applications and publishing them to the Google Play Store and Apple App Store Experience working on an Agile team using the Scrum framework in a fast-paced, collaborative environment Experience leading and mentoring developers in engineering best practices, troubleshooting, and professional growth Experience maintaining, upgrading, and re-factoring legacy applications, opportunistically prioritizing a tech debt and a tech roadmap for modernizing the tech stack Desired Skills: Bachelor s degree in Information Technology, Computer Science, Information Systems, or relevant experience Experience with advanced Okta capabilities, such as multifactor authentication (MFA), customer identity integrations, and identity lifecycle workflows Experience developing reusable Terraform modules, managing remote state, and integrating infrastructure validation and deployment into CI/CD pipelines Experience building and maintaining CI/CD pipelines and automating development and operational processes Experience deploying, operating, and managing services in AWS or other cloud environments Experience with AWS Lambda Experience writing APIs with Python Experience with using AI to generate and test software Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/14/2026
Full time
Genesis10 is currently seeking a Lead/Senior Software Engineer - Remote for a contract position with an Agricultural Cooperative located in Inver Grove Heights, MN. This is a 9+ month contract opportunity. Compensation: $91.00 - $94.00 per hour, W2, based on qualifications Position Overview: In this role, you will design and deliver secure, scalable web and mobile applications, integrate identity and access management solutions using Okta, and manage cloud infrastructure through infrastructure as code using Terraform. You will collaborate with a talented team and make a measurable impact on the digital experience of our client's customers. The ideal candidate has strong technical expertise, excellent communication skills, and the ability to work collaboratively and independently. Key Responsibilities: Provide technical leadership to team, assist in work breakdown, and guide system design, keeping product outcomes, technical goals, and customer needs in mind Design, prototype, refine, and implement solutions to complex business and technical problems, considering system capacity, security, performance, maintainability, and desired outcomes Develop and support customer-facing applications using .NET, C#, Angular, and related web technologies Implement and support secure authentication and authorization using Okta, including application integrations, single sign-on (SSO), and standards such as OpenID Connect (OIDC) and OAuth 2.0 Develop and maintain Terraform configurations to provision and manage cloud infrastructure consistently across environments Collaborate with architecture, security, and platform teams to align application integrations and infrastructure automation with established standards and best practices Experience in preventing vulnerabilities from being integrated into products from 3rd party tools Stay current with web technologies and recommend improvements to application architecture, development practices, and engineering tools Collaborate with business stakeholders, subject matter experts, business analysts, quality assurance personnel, architects, and technical leads to deliver effective solutions Troubleshoot and resolve complex application, identity integration, and infrastructure issues Mentor less experienced software engineers and conduct code reviews to promote quality, security, and maintainability Participate in scheduled and unscheduled weekend or after-hours maintenance, support, and on-call duties as needed Primary Requirements: 10+ years of software development experience with web technologies, middleware, and backend databases Strong development skills in .NET, C#, Angular 16 or later, TypeScript, CSS, and/or Sass Hands-on experience integrating applications with Okta for authentication and authorization, including familiarity with SSO, OIDC, SAML, and OAuth 2.0 Hands-on experience AWS and using Terraform to provision and manage cloud infrastructure, including working with reusable configurations and infrastructure state Experience identifying and applying common software design patterns to build modular, maintainable, and scalable applications Understanding of interactive design principles and attention to technical and visual detail Comprehensive knowledge of the Software Development Life Cycle Demonstrated ability to troubleshoot and resolve complex technical issues Experience developing mobile applications and publishing them to the Google Play Store and Apple App Store Experience working on an Agile team using the Scrum framework in a fast-paced, collaborative environment Experience leading and mentoring developers in engineering best practices, troubleshooting, and professional growth Experience maintaining, upgrading, and re-factoring legacy applications, opportunistically prioritizing a tech debt and a tech roadmap for modernizing the tech stack Desired Skills: Bachelor s degree in Information Technology, Computer Science, Information Systems, or relevant experience Experience with advanced Okta capabilities, such as multifactor authentication (MFA), customer identity integrations, and identity lifecycle workflows Experience developing reusable Terraform modules, managing remote state, and integrating infrastructure validation and deployment into CI/CD pipelines Experience building and maintaining CI/CD pipelines and automating development and operational processes Experience deploying, operating, and managing services in AWS or other cloud environments Experience with AWS Lambda Experience writing APIs with Python Experience with using AI to generate and test software Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Genesis10 is currently seeking a Principal Data Lead for a remote or hybrid position with a Financial Services Consulting Firm located in Scottsdale, AZ or Raleigh, NC. This is a contract-to-hire opportunity. Compensation: $150.00 - $160.00 per hour, W2, based on qualifications Position Overview: This is a hands-on Lead Solutions Architect role for a candidate who designs, builds, and leads. As a working architect, you will spend a significant share of your time in the platforms themselves, configuring and extending Dynamics 365 Project Operations and Finance & Operations, modeling data in Dataverse and the Enterprise Data Warehouse, writing and reviewing transformation code, and tuning Power BI semantic models. You will lead a team of developers, data engineers, and analysts, setting the technical direction and owning design standards. Key Responsibilities: Serve as the lead technical architect for Dynamics 365 Project Operations, Finance & Operations and Dataverse, owning the end-to-end solution design Personally design and build data models, entities, integrations, workflows and extensions, and resolve complex configuration, performance and data issues Design and implement integrations between Dynamics 365, the Data Warehouse and other enterprise systems using Dataverse, Azure Data Factory, Fabric pipelines, APIs and the Power Platform Review and approve customizations, extensions and ALM practices (solution layering, source control, environment strategy and deployment pipelines) Translate business processes in finance, project delivery and operations into sound, maintainable system designs Own the architecture of the Enterprise Data Warehouse and Microsoft Fabric environment, including lakehouse and warehouse layers, dimensional models and data marts Build and review ingestion and transformation pipelines, SQL, notebooks and stored procedures Design dimensional and semantic models (facts, dimensions, conformed dimensions, slowly changing dimensions) that serve Power BI and AI workloads consistently Architect Power BI semantic models, dataflows, row-level security and deployment pipelines, and set performance and reuse standards for reports and dashboards Establish and maintain end-to-end data lineage from source systems through to Power BI reports and AI models Define, document and enforce design standards including naming conventions, modeling patterns, and coding standards Lead, hire, coach and develop a team of Dynamics developers, data engineers and BI developers Design the data foundations that AI and machine learning solutions depend on, ensuring governed, well-lineaged and high-quality data feeds Primary Requirements: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering or a related field 8+ years of hands-on experience in solution, data or analytics architecture, including recent, direct build experience (not solely oversight) Deep hands-on experience with Dynamics 365 Finance & Operations and/or Project Operations, Dataverse and the Power Platform Strong hands-on expertise in data warehouse design and engineering: dimensional modeling, SQL, ETL/ELT pipelines, and Microsoft Fabric or Azure Synapse/SQL Demonstrated experience implementing and maintaining data lineage, metadata management and source-to-target documentation Proven track record of defining and enforcing design and coding standards through design reviews and code reviews 3+ years of experience directly managing technical staff, including hiring, coaching and performance management Advanced Power BI skills, including semantic modeling, DAX, row-level security and deployment pipelines Desired Skills: Microsoft certifications such as Dynamics 365 Finance and Operations Apps Solution Architect Expert, Fabric Analytics Engineer Associate or Azure Data Engineer Associate Experience with Microsoft Purview or other data catalog and lineage tools Experience in a professional services or project-based business Exposure to AI and machine learning data pipelines and responsible AI governance Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/14/2026
Full time
Genesis10 is currently seeking a Principal Data Lead for a remote or hybrid position with a Financial Services Consulting Firm located in Scottsdale, AZ or Raleigh, NC. This is a contract-to-hire opportunity. Compensation: $150.00 - $160.00 per hour, W2, based on qualifications Position Overview: This is a hands-on Lead Solutions Architect role for a candidate who designs, builds, and leads. As a working architect, you will spend a significant share of your time in the platforms themselves, configuring and extending Dynamics 365 Project Operations and Finance & Operations, modeling data in Dataverse and the Enterprise Data Warehouse, writing and reviewing transformation code, and tuning Power BI semantic models. You will lead a team of developers, data engineers, and analysts, setting the technical direction and owning design standards. Key Responsibilities: Serve as the lead technical architect for Dynamics 365 Project Operations, Finance & Operations and Dataverse, owning the end-to-end solution design Personally design and build data models, entities, integrations, workflows and extensions, and resolve complex configuration, performance and data issues Design and implement integrations between Dynamics 365, the Data Warehouse and other enterprise systems using Dataverse, Azure Data Factory, Fabric pipelines, APIs and the Power Platform Review and approve customizations, extensions and ALM practices (solution layering, source control, environment strategy and deployment pipelines) Translate business processes in finance, project delivery and operations into sound, maintainable system designs Own the architecture of the Enterprise Data Warehouse and Microsoft Fabric environment, including lakehouse and warehouse layers, dimensional models and data marts Build and review ingestion and transformation pipelines, SQL, notebooks and stored procedures Design dimensional and semantic models (facts, dimensions, conformed dimensions, slowly changing dimensions) that serve Power BI and AI workloads consistently Architect Power BI semantic models, dataflows, row-level security and deployment pipelines, and set performance and reuse standards for reports and dashboards Establish and maintain end-to-end data lineage from source systems through to Power BI reports and AI models Define, document and enforce design standards including naming conventions, modeling patterns, and coding standards Lead, hire, coach and develop a team of Dynamics developers, data engineers and BI developers Design the data foundations that AI and machine learning solutions depend on, ensuring governed, well-lineaged and high-quality data feeds Primary Requirements: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering or a related field 8+ years of hands-on experience in solution, data or analytics architecture, including recent, direct build experience (not solely oversight) Deep hands-on experience with Dynamics 365 Finance & Operations and/or Project Operations, Dataverse and the Power Platform Strong hands-on expertise in data warehouse design and engineering: dimensional modeling, SQL, ETL/ELT pipelines, and Microsoft Fabric or Azure Synapse/SQL Demonstrated experience implementing and maintaining data lineage, metadata management and source-to-target documentation Proven track record of defining and enforcing design and coding standards through design reviews and code reviews 3+ years of experience directly managing technical staff, including hiring, coaching and performance management Advanced Power BI skills, including semantic modeling, DAX, row-level security and deployment pipelines Desired Skills: Microsoft certifications such as Dynamics 365 Finance and Operations Apps Solution Architect Expert, Fabric Analytics Engineer Associate or Azure Data Engineer Associate Experience with Microsoft Purview or other data catalog and lineage tools Experience in a professional services or project-based business Exposure to AI and machine learning data pipelines and responsible AI governance Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Lonza is seeking an Automation & MES Delivery Lead to drive design, implementation, and lifecycle management of manufacturing execution and automation systems in a regulated biopharmaceutical environment. You will lead end-to-end delivery of MES/automation solutions for drug substance and drug product facilities, translating manufacturing and quality requirements into robust digital workflows. Responsibilities include solution architecture, vendor and system integration oversight, project delivery, validation support, and continuous improvement. You will partner with operations, QA, IT, and global engineering, ensuring GxP compliance, data integrity, and high system reliability in support of safe, efficient, and scalable biopharma production. Responsibilities Lead end-to-end delivery of MES and automation solutions for biopharma manufacturing sites Translate manufacturing, quality, and regulatory requirements into system designs and workflows Define solution architecture and oversee integration with ERP, LIMS, and control systems Coordinate vendors, internal IT, engineering, and operations for successful project execution Support computer system validation, testing, and documentation in line with Gx P and data integrity Monitor and improve system performance, reliability, and user experience Drive standardization and continuous improvement of MES/automation templates and processes Ensure compliance with global and local regulations, including 21 CFR Part 11 Provide subject matter expertise and training to end users and project teams Contribute to digitalization roadmap and technology selection for manufacturing IT/OT Required Skills Manufacturing Execution Systems (MES) Automation systems (PLC/SCADA/DCS) System integration and interfaces (ERP/LIMS/Delta V/SAP) Gx P and FDA/EMA regulations Computer system validation (CSV)21 CFR Part 11 and data integrity Requirements gathering and process mapping Project and delivery management Biopharmaceutical manufacturing processes Change management and continuous improvement
11/14/2026
Full time
Lonza is seeking an Automation & MES Delivery Lead to drive design, implementation, and lifecycle management of manufacturing execution and automation systems in a regulated biopharmaceutical environment. You will lead end-to-end delivery of MES/automation solutions for drug substance and drug product facilities, translating manufacturing and quality requirements into robust digital workflows. Responsibilities include solution architecture, vendor and system integration oversight, project delivery, validation support, and continuous improvement. You will partner with operations, QA, IT, and global engineering, ensuring GxP compliance, data integrity, and high system reliability in support of safe, efficient, and scalable biopharma production. Responsibilities Lead end-to-end delivery of MES and automation solutions for biopharma manufacturing sites Translate manufacturing, quality, and regulatory requirements into system designs and workflows Define solution architecture and oversee integration with ERP, LIMS, and control systems Coordinate vendors, internal IT, engineering, and operations for successful project execution Support computer system validation, testing, and documentation in line with Gx P and data integrity Monitor and improve system performance, reliability, and user experience Drive standardization and continuous improvement of MES/automation templates and processes Ensure compliance with global and local regulations, including 21 CFR Part 11 Provide subject matter expertise and training to end users and project teams Contribute to digitalization roadmap and technology selection for manufacturing IT/OT Required Skills Manufacturing Execution Systems (MES) Automation systems (PLC/SCADA/DCS) System integration and interfaces (ERP/LIMS/Delta V/SAP) Gx P and FDA/EMA regulations Computer system validation (CSV)21 CFR Part 11 and data integrity Requirements gathering and process mapping Project and delivery management Biopharmaceutical manufacturing processes Change management and continuous improvement
Lonza is seeking an Automation & MES Delivery Lead to drive design, implementation, and lifecycle management of manufacturing execution and automation systems in a regulated biopharmaceutical environment. You will lead end-to-end delivery of MES/automation solutions for drug substance and drug product facilities, translating manufacturing and quality requirements into robust digital workflows. Responsibilities include solution architecture, vendor and system integration oversight, project delivery, validation support, and continuous improvement. You will partner with operations, QA, IT, and global engineering, ensuring GxP compliance, data integrity, and high system reliability in support of safe, efficient, and scalable biopharma production. Responsibilities Lead end-to-end delivery of MES and automation solutions for biopharma manufacturing sites Translate manufacturing, quality, and regulatory requirements into system designs and workflows Define solution architecture and oversee integration with ERP, LIMS, and control systems Coordinate vendors, internal IT, engineering, and operations for successful project execution Support computer system validation, testing, and documentation in line with Gx P and data integrity Monitor and improve system performance, reliability, and user experience Drive standardization and continuous improvement of MES/automation templates and processes Ensure compliance with global and local regulations, including 21 CFR Part 11 Provide subject matter expertise and training to end users and project teams Contribute to digitalization roadmap and technology selection for manufacturing IT/OT Required Skills Manufacturing Execution Systems (MES) Automation systems (PLC/SCADA/DCS) System integration and interfaces (ERP/LIMS/Delta V/SAP) Gx P and FDA/EMA regulations Computer system validation (CSV)21 CFR Part 11 and data integrity Requirements gathering and process mapping Project and delivery management Biopharmaceutical manufacturing processes Change management and continuous improvement
11/14/2026
Full time
Lonza is seeking an Automation & MES Delivery Lead to drive design, implementation, and lifecycle management of manufacturing execution and automation systems in a regulated biopharmaceutical environment. You will lead end-to-end delivery of MES/automation solutions for drug substance and drug product facilities, translating manufacturing and quality requirements into robust digital workflows. Responsibilities include solution architecture, vendor and system integration oversight, project delivery, validation support, and continuous improvement. You will partner with operations, QA, IT, and global engineering, ensuring GxP compliance, data integrity, and high system reliability in support of safe, efficient, and scalable biopharma production. Responsibilities Lead end-to-end delivery of MES and automation solutions for biopharma manufacturing sites Translate manufacturing, quality, and regulatory requirements into system designs and workflows Define solution architecture and oversee integration with ERP, LIMS, and control systems Coordinate vendors, internal IT, engineering, and operations for successful project execution Support computer system validation, testing, and documentation in line with Gx P and data integrity Monitor and improve system performance, reliability, and user experience Drive standardization and continuous improvement of MES/automation templates and processes Ensure compliance with global and local regulations, including 21 CFR Part 11 Provide subject matter expertise and training to end users and project teams Contribute to digitalization roadmap and technology selection for manufacturing IT/OT Required Skills Manufacturing Execution Systems (MES) Automation systems (PLC/SCADA/DCS) System integration and interfaces (ERP/LIMS/Delta V/SAP) Gx P and FDA/EMA regulations Computer system validation (CSV)21 CFR Part 11 and data integrity Requirements gathering and process mapping Project and delivery management Biopharmaceutical manufacturing processes Change management and continuous improvement
Pay Range: $45.00hr - $50.00hr Job Overview: We are seeking a highly skilled Senior Data Analyst / Business Data Consultant to partner with our Data Team. This role is pivotal in bridging business strategy with technical execution - converting complex business needs into scalable, data-driven solutions. The successful candidate will lead detailed data analysis efforts, uncover business-critical insights, and identify data use cases that drive measurable impact across the organization. This project supports the company's data modernization and analytics roadmap, enabling unified reporting, trusted master data, and scalable analytics across global business units. Key Responsibilities: Perform in-depth analysis of enterprise data to uncover trends, patterns, and correlations. Identify actionable insights and data-driven opportunities that inform decision-making and strategic initiatives. Collaborate with stakeholders to identify and define data use cases across functional domains, ensuring alignment with business priorities and future-state data strategy. Engage with stakeholders to translate business requirements into clear technical specifications, analytical models, and actionable deliverables. Analyze current-state data and infrastructure versus future-state goals; identify data and process gaps; define mitigation strategies. Perform deep dives into structured and semi-structured datasets to assess completeness, consistency, and accuracy; work with SMEs to understand data availability and source gaps. Design and validate data pipelines and transformations; document lineage and dependencies. Use Python and SQL to extract, clean, and engineer data features for analytics and modeling. Apply basic AI/ML and LLM-based tools (e.g., prompt-based data exploration, AI-assisted feature engineering, or generative AI copilots) to accelerate data analysis, documentation, and insight generation. Build and maintain insightful dashboards and reports to communicate findings effectively. Maintain business glossary, data dictionary, and metadata aligned with governance standards. Participate in validation of new or transformed data sets to ensure integrity and alignment with business requirements. Maintain the data dictionary and business glossary for assigned domains, capturing and documenting definitions aligned with business leadership and global teams. Partner closely with data engineers, product managers, and business SMEs to align solutions with business objectives. Required Skills & Qualifications: 8 12 years of experience in data analytics, business analysis, or data management. Advanced SQL expertise with ability to query and optimize large, complex datasets. Proficiency in Python for data analysis, transformation, and feature engineering (Pandas, NumPy). Experience with building dashboard using AI or similar visualization frameworks for data storytelling and dashboards. Deep understanding of data architecture, governance, MDM, and data lineage. Proven track record in identifying and scoping new data use cases and converting insights into business recommendations. Strong analytical thinking, stakeholder management, and communication skills. Basic working knowledge of AI/ML concepts and exposure to AI-assisted tools (e.g., Copilot-style coding assistants, LLM-based chat/analytics tools, or prompt engineering for data tasks) - no deep ML modeling expertise required. Experience with Snowflake, Databricks, or Hadoop/Spark environments. Exposure to data catalog or governance tools (Collibra, Alation). Familiarity with D&B data hierarchy, enrichment, or similar reference data systems. Environment & Tooling Stack: SQL (PostgreSQL, Snowflake, Redshift). Python (Pandas, NumPy, feature engineering). AI for visualization. Git / Bitbucket for version control. JIRA / Confluence for project tracking and documentation. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $45.00hr - $50.00hr Job Overview: We are seeking a highly skilled Senior Data Analyst / Business Data Consultant to partner with our Data Team. This role is pivotal in bridging business strategy with technical execution - converting complex business needs into scalable, data-driven solutions. The successful candidate will lead detailed data analysis efforts, uncover business-critical insights, and identify data use cases that drive measurable impact across the organization. This project supports the company's data modernization and analytics roadmap, enabling unified reporting, trusted master data, and scalable analytics across global business units. Key Responsibilities: Perform in-depth analysis of enterprise data to uncover trends, patterns, and correlations. Identify actionable insights and data-driven opportunities that inform decision-making and strategic initiatives. Collaborate with stakeholders to identify and define data use cases across functional domains, ensuring alignment with business priorities and future-state data strategy. Engage with stakeholders to translate business requirements into clear technical specifications, analytical models, and actionable deliverables. Analyze current-state data and infrastructure versus future-state goals; identify data and process gaps; define mitigation strategies. Perform deep dives into structured and semi-structured datasets to assess completeness, consistency, and accuracy; work with SMEs to understand data availability and source gaps. Design and validate data pipelines and transformations; document lineage and dependencies. Use Python and SQL to extract, clean, and engineer data features for analytics and modeling. Apply basic AI/ML and LLM-based tools (e.g., prompt-based data exploration, AI-assisted feature engineering, or generative AI copilots) to accelerate data analysis, documentation, and insight generation. Build and maintain insightful dashboards and reports to communicate findings effectively. Maintain business glossary, data dictionary, and metadata aligned with governance standards. Participate in validation of new or transformed data sets to ensure integrity and alignment with business requirements. Maintain the data dictionary and business glossary for assigned domains, capturing and documenting definitions aligned with business leadership and global teams. Partner closely with data engineers, product managers, and business SMEs to align solutions with business objectives. Required Skills & Qualifications: 8 12 years of experience in data analytics, business analysis, or data management. Advanced SQL expertise with ability to query and optimize large, complex datasets. Proficiency in Python for data analysis, transformation, and feature engineering (Pandas, NumPy). Experience with building dashboard using AI or similar visualization frameworks for data storytelling and dashboards. Deep understanding of data architecture, governance, MDM, and data lineage. Proven track record in identifying and scoping new data use cases and converting insights into business recommendations. Strong analytical thinking, stakeholder management, and communication skills. Basic working knowledge of AI/ML concepts and exposure to AI-assisted tools (e.g., Copilot-style coding assistants, LLM-based chat/analytics tools, or prompt engineering for data tasks) - no deep ML modeling expertise required. Experience with Snowflake, Databricks, or Hadoop/Spark environments. Exposure to data catalog or governance tools (Collibra, Alation). Familiarity with D&B data hierarchy, enrichment, or similar reference data systems. Environment & Tooling Stack: SQL (PostgreSQL, Snowflake, Redshift). Python (Pandas, NumPy, feature engineering). AI for visualization. Git / Bitbucket for version control. JIRA / Confluence for project tracking and documentation. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Pay Range: $57.00hr - $62.00hr Job Overview: We are seeking a highly experienced and technically proficient Senior Backend Developer specializing in Java Spring Boot and Microservices Architecture. The ideal candidate will have a strong background in the retail domain, proven leadership capabilities, and a passion for implementing best development practices across onsite-offshore teams. The candidate will participate in all aspects of the SDLC lifecycle including solution design, implementation, and deployment from offshore. This hands-on technical role requires strong object-oriented and system design skills, Web application architecture, Web services, and XML/JSON transformation. The candidate must have excellent communication skills to successfully interact with stakeholders, other software developers, application and data architects, business analysts, and other related teams. Responsibilities: Lead backend development efforts using Java Spring Boot and Microservices. Architect scalable, secure, and high-performance backend systems. Collaborate with cross-functional teams across onsite and offshore locations. Mentor junior developers and enforce coding standards and best practices. Drive continuous integration and deployment (CI/CD) pipelines. Ensure code quality through automated testing and code reviews. Optimize application performance and troubleshoot production issues. Work closely with product owners and business analysts to translate requirements into technical solutions. Required Skills & Qualifications: 10+ years of hands-on experience in backend development using Java and Spring Boot. Strong expertise in Microservices architecture, RESTful APIs, and service orchestration. Experience with retail systems such as POS, inventory, order management, or customer engagement platforms. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Experience with cloud platforms (AWS, Azure, or GCP), with GCP preferred. Strong understanding of DevOps practices and CI/CD pipelines (Jenkins, GitHub Actions). Knowledge of monitoring tools (Prometheus, Grafana, ELK stack). Excellent communication and leadership skills. Experience working in Agile/Scrum environments. Preferred Tools & Technologies: Development: IntelliJ IDEA, Eclipse, VS Code. Version Control: Git, Bitbucket. Build Tools: Maven, Gradle. CI/CD: Jenkins, GitHub Actions, GitLab CI. Testing: JUnit, Mockito, Postman, REST Assured. Monitoring: ELK Stack, Prometheus, Grafana. Cloud & Containerization: AWS, Azure, Docker, Kubernetes. Collaboration: Jira, Confluence, Slack, Microsoft Teams. Nice to Have: Experience with event-driven architecture (Kafka, RabbitMQ). Exposure to retail analytics and data pipelines. Certifications in Java, Spring, or cloud technologies. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $57.00hr - $62.00hr Job Overview: We are seeking a highly experienced and technically proficient Senior Backend Developer specializing in Java Spring Boot and Microservices Architecture. The ideal candidate will have a strong background in the retail domain, proven leadership capabilities, and a passion for implementing best development practices across onsite-offshore teams. The candidate will participate in all aspects of the SDLC lifecycle including solution design, implementation, and deployment from offshore. This hands-on technical role requires strong object-oriented and system design skills, Web application architecture, Web services, and XML/JSON transformation. The candidate must have excellent communication skills to successfully interact with stakeholders, other software developers, application and data architects, business analysts, and other related teams. Responsibilities: Lead backend development efforts using Java Spring Boot and Microservices. Architect scalable, secure, and high-performance backend systems. Collaborate with cross-functional teams across onsite and offshore locations. Mentor junior developers and enforce coding standards and best practices. Drive continuous integration and deployment (CI/CD) pipelines. Ensure code quality through automated testing and code reviews. Optimize application performance and troubleshoot production issues. Work closely with product owners and business analysts to translate requirements into technical solutions. Required Skills & Qualifications: 10+ years of hands-on experience in backend development using Java and Spring Boot. Strong expertise in Microservices architecture, RESTful APIs, and service orchestration. Experience with retail systems such as POS, inventory, order management, or customer engagement platforms. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Experience with cloud platforms (AWS, Azure, or GCP), with GCP preferred. Strong understanding of DevOps practices and CI/CD pipelines (Jenkins, GitHub Actions). Knowledge of monitoring tools (Prometheus, Grafana, ELK stack). Excellent communication and leadership skills. Experience working in Agile/Scrum environments. Preferred Tools & Technologies: Development: IntelliJ IDEA, Eclipse, VS Code. Version Control: Git, Bitbucket. Build Tools: Maven, Gradle. CI/CD: Jenkins, GitHub Actions, GitLab CI. Testing: JUnit, Mockito, Postman, REST Assured. Monitoring: ELK Stack, Prometheus, Grafana. Cloud & Containerization: AWS, Azure, Docker, Kubernetes. Collaboration: Jira, Confluence, Slack, Microsoft Teams. Nice to Have: Experience with event-driven architecture (Kafka, RabbitMQ). Exposure to retail analytics and data pipelines. Certifications in Java, Spring, or cloud technologies. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details
11/14/2026
Full time
Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As a member of the Global Sales AI & Innovation team, you'll be at the forefront of transforming how American Airlines drives revenue through artificial intelligence and advanced data technologies. Embedded within Sales Operations, this role focuses on building both the foundation and the solutions-designing and developing AI powered agents, establishing the business context and governance that enable them, and delivering intelligent analytics that directly enhance the performance of American's corporate and agency sales programs. You'll have the opportunity to innovate, experiment with emerging platforms, and help shape the future of sales intelligence at the world's largest airline. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Responsibilities include the following: 2 Design, build, and deploy AI agents and models on Databricks and Microsoft Copilot/Fabric, leveraging tools such as Genie Spaces, Agent Bricks, and LLM-based workflows to automate and enhance intelligence for Global Sales. Develop and maintain AI governance frameworks - including model documentation, performance monitoring, lineage tracking, and compliance standards - to ensure responsible and auditable use of AI across sales programs. Build and optimize data pipelines supporting AI/ML workloads within a medallion architecture on Azure Databricks (Delta Lake, Unity Catalog), with integration into Microsoft Fabric and OneLake for downstream consumption. Innovate on emerging Databricks and Microsoft Fabric capabilities as they are released, rapidly evaluating and prototyping features that can strengthen the team's technical foundation and revenue impact. Collaborate with business stakeholders in Global Sales to understand operational challenges and translate them into AI-driven solutions, communicating findings and recommendations clearly to both technical and non-technical audiences. Create AI-powered reporting and analytical models within Genie Spaces, Databricks Apps, and Power BI Direct Lake semantic models that empower sales leaders to understand program performance, identify opportunities, and act with confidence. Champion continuous improvement by staying current with advancements in generative AI, agentic frameworks, and large language model tooling, bringing a mindset of experimentation and responsible innovation to the team. Support the full AI development lifecycle - from ideation and prototyping through production deployment and ongoing monitoring - in close partnership with data engineering and Sales IT teams. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Data Science, Information Systems, Engineering, or similar degree; or equivalent experience/training 3 year in similar role Preferred Qualifications- Education & Prior Job Experience MIS, MBA/MS with a focus on data science, AI, or business technology 5 years of development experience, preferably in an airline or travel industry function 3+ years of experience with Databricks, including Delta Lake, Unity Catalog, or MLflow Experience building or operationalizing AI agents or LLM-based applications Experience with Microsoft Fabric, Copilot Studio, and Power BI Skills, Licenses & Certifications Databricks: Delta Lake, Unity Catalog, Databricks Workflows, Genie Spaces, Apps Cloud & Data Platforms: Azure, Microsoft Fabric, OneLake AI/ML: Python (PySpark, pandas), agentic frameworks, MLflow, model governance and monitoring practices Analytics & Reporting: Microsoft Power BI (Direct Lake, DAX, TMDL), SQL Soft Skills: Strong written and verbal communication; ability to translate complex AI concepts for business audiences; comfort operating in a fast-paced, high-ambiguity environment Certifications (a plus): Databricks Certified Associate or Professional; Microsoft Azure or Fabric certification What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/14/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As a member of the Global Sales AI & Innovation team, you'll be at the forefront of transforming how American Airlines drives revenue through artificial intelligence and advanced data technologies. Embedded within Sales Operations, this role focuses on building both the foundation and the solutions-designing and developing AI powered agents, establishing the business context and governance that enable them, and delivering intelligent analytics that directly enhance the performance of American's corporate and agency sales programs. You'll have the opportunity to innovate, experiment with emerging platforms, and help shape the future of sales intelligence at the world's largest airline. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Responsibilities include the following: 2 Design, build, and deploy AI agents and models on Databricks and Microsoft Copilot/Fabric, leveraging tools such as Genie Spaces, Agent Bricks, and LLM-based workflows to automate and enhance intelligence for Global Sales. Develop and maintain AI governance frameworks - including model documentation, performance monitoring, lineage tracking, and compliance standards - to ensure responsible and auditable use of AI across sales programs. Build and optimize data pipelines supporting AI/ML workloads within a medallion architecture on Azure Databricks (Delta Lake, Unity Catalog), with integration into Microsoft Fabric and OneLake for downstream consumption. Innovate on emerging Databricks and Microsoft Fabric capabilities as they are released, rapidly evaluating and prototyping features that can strengthen the team's technical foundation and revenue impact. Collaborate with business stakeholders in Global Sales to understand operational challenges and translate them into AI-driven solutions, communicating findings and recommendations clearly to both technical and non-technical audiences. Create AI-powered reporting and analytical models within Genie Spaces, Databricks Apps, and Power BI Direct Lake semantic models that empower sales leaders to understand program performance, identify opportunities, and act with confidence. Champion continuous improvement by staying current with advancements in generative AI, agentic frameworks, and large language model tooling, bringing a mindset of experimentation and responsible innovation to the team. Support the full AI development lifecycle - from ideation and prototyping through production deployment and ongoing monitoring - in close partnership with data engineering and Sales IT teams. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Data Science, Information Systems, Engineering, or similar degree; or equivalent experience/training 3 year in similar role Preferred Qualifications- Education & Prior Job Experience MIS, MBA/MS with a focus on data science, AI, or business technology 5 years of development experience, preferably in an airline or travel industry function 3+ years of experience with Databricks, including Delta Lake, Unity Catalog, or MLflow Experience building or operationalizing AI agents or LLM-based applications Experience with Microsoft Fabric, Copilot Studio, and Power BI Skills, Licenses & Certifications Databricks: Delta Lake, Unity Catalog, Databricks Workflows, Genie Spaces, Apps Cloud & Data Platforms: Azure, Microsoft Fabric, OneLake AI/ML: Python (PySpark, pandas), agentic frameworks, MLflow, model governance and monitoring practices Analytics & Reporting: Microsoft Power BI (Direct Lake, DAX, TMDL), SQL Soft Skills: Strong written and verbal communication; ability to translate complex AI concepts for business audiences; comfort operating in a fast-paced, high-ambiguity environment Certifications (a plus): Databricks Certified Associate or Professional; Microsoft Azure or Fabric certification What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
11/14/2026
Full time
Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Description ? Hiring: Guidewire Policy Center Configuration Developer - Cincinnati, OH We are looking for an experienced Guidewire Policy Center Developer with strong hands-on expertise in configuration, customization, Gosu programming, and Policy Center Cloud. Job Title: Guidewire Policy Center Configuration Developer Position Type: Long Term Contract Location: Cincinnati, OH Job Description: Configure and customize Guidewire Policy Center using Gosu PCF and Product Model Implement policy lifecycle components including submission issuance endorsements renewals cancellations and reinstatements Configure product model lines of business coverages conditions exclusions modifiers Develop and enhance UI screens validation rules and workflows Work on rate tables underwriting rules and eligibility rules Support integrations with upstream downstream systems using SOAPREST Messaging and Plugins Perform unit testing defect fixing and code reviews Collaborate with business analysts architects and QA teams to understand and implement requirements Support production issues and release deployments Contribute to estimations design discussions and technical documentation Technical Skills Mandatory Guidewire Policy Center configuration Cloud Experience Gosu programming PCF Page Configuration Files Product Model configuration Business Rules Validation Rules Workflows XML Web Services SOAPREST Eclipse Guidewire Studio SQL basics Good to Have Experience with Guidewire Integration Framework Exposure to Claim Center or Billing Center Guidewire upgrade or cloud GWCP experience CICD DevOps exposure Performance tuning and batch configuration Domain Experience Property Casualty Insurance Personal Lines of Business Policy administration processes Certifications Preferred Guidewire Certified Policy Center Configuration Specialist Guidewire ACE Certification ? Interested or open to new opportunities? Please send your updated resume with contact details to Thanks and Regards Vikas Mahindrakar New York Technology Partners 120 Wood Avenue S Suite 504 Iselin, NJ 08830
11/14/2026
Full time
Job Description ? Hiring: Guidewire Policy Center Configuration Developer - Cincinnati, OH We are looking for an experienced Guidewire Policy Center Developer with strong hands-on expertise in configuration, customization, Gosu programming, and Policy Center Cloud. Job Title: Guidewire Policy Center Configuration Developer Position Type: Long Term Contract Location: Cincinnati, OH Job Description: Configure and customize Guidewire Policy Center using Gosu PCF and Product Model Implement policy lifecycle components including submission issuance endorsements renewals cancellations and reinstatements Configure product model lines of business coverages conditions exclusions modifiers Develop and enhance UI screens validation rules and workflows Work on rate tables underwriting rules and eligibility rules Support integrations with upstream downstream systems using SOAPREST Messaging and Plugins Perform unit testing defect fixing and code reviews Collaborate with business analysts architects and QA teams to understand and implement requirements Support production issues and release deployments Contribute to estimations design discussions and technical documentation Technical Skills Mandatory Guidewire Policy Center configuration Cloud Experience Gosu programming PCF Page Configuration Files Product Model configuration Business Rules Validation Rules Workflows XML Web Services SOAPREST Eclipse Guidewire Studio SQL basics Good to Have Experience with Guidewire Integration Framework Exposure to Claim Center or Billing Center Guidewire upgrade or cloud GWCP experience CICD DevOps exposure Performance tuning and batch configuration Domain Experience Property Casualty Insurance Personal Lines of Business Policy administration processes Certifications Preferred Guidewire Certified Policy Center Configuration Specialist Guidewire ACE Certification ? Interested or open to new opportunities? Please send your updated resume with contact details to Thanks and Regards Vikas Mahindrakar New York Technology Partners 120 Wood Avenue S Suite 504 Iselin, NJ 08830
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
11/14/2026
Full time
Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/14/2026
Full time
Job Description Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Senior Mission Systems & Autonomy Engineer to join our Phantom Works team to lead the development of mission systems and autonomy solutions for a proprietary effort. The Phantom Works Mission Systems and Autonomy team resides with our Boeing Defense, Space & Security (BDS) - Phantom Works division, focused on developing the next generation of mission systems and autonomous platforms for our customers. Our team develops complex, highly integrated solutions for manned and unmanned platforms across key mission systems capability areas including, but not limited to: Advanced communications / Command & Control (C2) / Manned-Unmanned Teaming (MUM-T) Weapons Integration and Employment Mission & Flight Autonomy Electro-Optical/Infrared (EO/IR) RF / EW Mission Computing Government Reference Architectures (AMS, Autonomy, etc.) The selected candidate will be responsible for leading the development of mission systems architectures and designs across the capabilities above for the full mission systems suite on a proprietary effort. Position Responsibilities: Technical leadership of the full mission systems scope Mission Systems Architecture Design, and Development from the platform level down to hardware and software solutions Collaboration with Operations Analysts to assess Mission Effectiveness of various mission systems concepts Performance analysis supporting mission systems capability areas Model-Based Systems Engineering (MBSE) implementation of mission systems design artifacts, including requirements, verification/test procedures, interfaces and behaviors Collaboration with program stakeholders and subject matter experts (SMEs) across various disciplines (Operational Analysis, Software, Electrical/Systems Engineering, Labs, etc) Briefing customer stakeholders at both formal and informal technical meetings Engagements with suppliers and analysis of data they provide Mentorship of junior engineers on within the program and the greater Phantom Works division Travel may be required up to 10% of the time; Domestically and/or Internationally depending on business needs. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. Preferred Qualifications (Desired Skills/Experience): Experience leading execution of mission systems statement of work on unmanned Department of War (DoW) platforms. Experience developing and implementing GRA-compliant solutions on DoW platforms Technical experience in two or more of the mission systems capability areas listed above Experience leading the development or integration of avionics / mission systems on defense platforms Experience with utilizing MBSE principles and tools (e.g, Cameo/MSOSA, SysML) Experience developing requirements / verifications / test procedures-include all in PQs. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Potential signing bonus for eligible/qualified external candidates Summary pay range: Level 5: $164,900-$223,100 Applications for this position will be accepted until Dec. 31, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
11/14/2026
Full time
Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
11/14/2026
Full time
Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%
Date Posted: 2026-08-20 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Spacecraft Concept & Mission Engineer to support Raytheon's Advanced Technology organization. In this role, you will support Advanced Technology's Alternate Missions & Space product line in developing satellite technology, assessing mission CONOPs and constellations, and supporting new mission and program captures for national security space customers. Advanced Technology incubates new technologies and explores novel mission areas for the RTX business, captures new programs, and executes unique projects. You will be supporting new research and development with opportunities for developing inventions and intellectual property. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a portfolio of systems. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with using programming languages such as Python, MATLAB, and/or C++ to model physical systems. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) An active and transferable Top Secret U.S. government issued security clearance is required at the time of application for this position, with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/14/2026
Full time
Date Posted: 2026-08-20 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Spacecraft Concept & Mission Engineer to support Raytheon's Advanced Technology organization. In this role, you will support Advanced Technology's Alternate Missions & Space product line in developing satellite technology, assessing mission CONOPs and constellations, and supporting new mission and program captures for national security space customers. Advanced Technology incubates new technologies and explores novel mission areas for the RTX business, captures new programs, and executes unique projects. You will be supporting new research and development with opportunities for developing inventions and intellectual property. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a portfolio of systems. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with using programming languages such as Python, MATLAB, and/or C++ to model physical systems. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) An active and transferable Top Secret U.S. government issued security clearance is required at the time of application for this position, with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
