1766 jobs found

Lead enterprise systems, application development, integration, and analytics teams supporting Finance and Accounting, Merchandising, and Product Development. Set technical roadmaps, oversee implementations, prioritize product backlogs, and partner with business and IT leaders to deliver reliable solutions. This role is eligible for remote work within approved continental U.S. states, excluding California. Responsibilities Lead product owners, application analysts, engineers, integration specialists, analytics staff, and system extension developers. Oversee configuration, development, implementation, and support of enterprise applications and infrastructure. Develop technical and architectural roadmaps for Finance and Accounting, Merchandising, and Product Development systems. Manage and prioritize product backlogs, epics, user stories, and enhancement business cases. Evaluate technology solutions for architecture, feasibility, cost, and strategic fit. Mentor the team and promote delivery standards, governance, and technology best practices. Required Skills Enterprise systems management ERP systems Retail merchandising systems Product development systems Application development Application and data integration API-first architecture Cloud services platforms Agile product management Analytics development

Job Description Job Description W2 only - NO C2C candidates, NO 3rd parties For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data platform on AWS. In this hands on architecture role, you will shape the data foundations that power wealth management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. This role is located onsite at the client's office in Naperville, IL. This is a hybrid work scheduled. Future Responsibilities: . Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. . Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. . Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. . Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. . Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. . Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. . Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. . Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. . Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements: . 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. . Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. . Proven track record designing large scale data platforms on AWS. . Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. . Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. . Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. . Experience handling sensitive data with appropriate security, privacy, and compliance controls. . Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. . AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. . Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). . Databases: RDS, Aurora, DynamoDB. . Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. . Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. . BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills . AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). . Enterprise architecture framework experience (e.g., TOGAF). . Experience with data cataloging and governance tools (e.g., Collibra, Alation). . Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. . Exposure to machine learning / advanced analytics enablement. . Experience with data mesh or domain oriented data architecture. . Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. . . Ref: Pittsburgh

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: B2B Sales Expert (3+ YOE, US Only) Type: Contract Compensation: $50-$70/hour Location: Remote Role Responsibilities Generate and qualify pipeline through outbound efforts, executive relationships, events, and partnerships. Run consultative cycles with senior operators and technical leaders to build business cases for budget approval. Partner with Engineers to scope deployments, run POCs with clear success metrics, and negotiate multi-year agreements. Expand accounts beyond the initial deal, maintain clean CRM hygiene, and forecast accurately. Feed market signals back to product and GTM leadership for strategic alignment. Qualifications Must-Have 3+ years of enterprise B2B sales experience, ideally with technical or platform products for the Fortune 500 . Proven track record of hitting quota and closing complex, multi-stakeholder deals ($500K+ ACV). Ability to sell to both C-suite and technical buyers, translating ambiguous business problems into concrete value theses. Strong discovery, commercial negotiation, and pipeline-generation skills. Thrives in a fast-moving, high-autonomy startup environment. Preferred Experience selling AI/ML , data, or professional-services solutions. History as an early or founding AE building a territory from scratch. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Description Description At Nüvitek, customer success is our Ethos; together, we drive transformational outcomes. We only succeed when our customers succeed. We partner with our customers to achieve business objectives by using our proven customer-centric, value-driven business practices and service delivery methodologies. Nüvitek is seeking a ServiceNow QA Tester with at least 3 years of experience in software testing and Agile environments to test ServiceNow applications, validate workflows, develop test cases, and track defects. The ideal candidate has experience with functional, regression, integration, and user acceptance testing, with familiarity with test automation tools. Candidates must have an active Secret security clearance and a bachelor's degree in a related field. In assuming this position, you will be a critical contributor to meeting Nuvitek's mission: To deliver innovative, cost-effective solutions and services that enable our customers to rapidly adapt to dynamic environments. What you will do Execute functional, regression, integration, and user acceptance testing (UAT) for ServiceNow applications and workflows. Develop, document, maintain, and execute detailed test cases and UAT scripts based on business requirements and acceptance criteria. Perform manual testing of forms, reports, configurations, workflows, and role-based access controls. Execute and maintain automated tests using ServiceNow Automated Test Framework (ATF) or comparable test automation tools, as applicable. Validate application enhancements, defect fixes, integrations, data updates, and release changes across development and test environments. Identify, document, track, and retest defects through resolution. Collaborate with business analysts, developers, and stakeholders to clarify requirements, confirm expected outcomes, and resolve testing issues. Support UAT coordination, release readiness, production validation, and the collection of test evidence. Maintain accurate testing documentation and ensure results align with applicable security, compliance, and project requirements. Participate in Agile ceremonies, sprint activities, and release planning to support quality delivery. What you will bring U.S. citizenship and an active Secret security clearance. At least 3 years of experience in software testing, quality assurance, or test engineering. At least 3 years of experience testing ServiceNow applications or comparable enterprise workflow platforms. At least 3 years of experience working in Agile delivery environments, including user stories, acceptance criteria, and sprint ceremonies. A bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Hands-on experience developing and executing test cases, documenting results, identifying defects, and validating fixes. Experience performing functional, regression, integration, and user acceptance testing. Familiarity with workflow dependencies, system integrations, data validation, and role-based access controls. Strong analytical, problem-solving, communication, and collaboration skills. Exceptional attention to detail and a commitment to thorough test coverage, accurate documentation, and clear defect reporting. The ability to work independently, prioritize competing tasks, adapt to changing requirements, and take ownership of assigned deliverables. Sound judgment in resolving issues independently and escalating concerns when appropriate. It would be great if you also had Experience with ServiceNow Automated Test Framework (ATF) or other test automation tools. ServiceNow Certified System Administrator (CSA) certification. ISTQB Certified Tester Foundation Level (CTFL) certification. Experience supporting federal technology programs or working in environments with applicable security and compliance requirements. Experience supporting enterprise application enhancements, software releases, and workflow changes. Benefits Nuvitek is proud to offer a comprehensive benefits package: Medical Insurance Dental Insurance Vision Insurance Disability and Life Insurance Parental Leave 401K Paid Time Off Equal Opportunity Employer Statement Nuvitek is an equal-opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. AI & Interview Technology Disclosure Nüvitek uses artificial intelligence (AI) technology to assist with the review and organization of job applications. AI-assisted tools may be used to help identify application information relevant to the position; however, AI does not make hiring decisions. Employment decisions are made by Nüvitek through human review and consideration of candidate qualifications. During interviews, Nüvitek may use Google Gemini as a notetaking and meeting-assistance tool to help document and organize interview discussions. Candidates will be informed when AI-assisted notetaking is used during an interview.

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Job Title: Data Architect- Wealth Management Location: Naperville, IL Type: Direct Hire Compensation: Open Work Model: Onsite Hours: 40.0 Security Clearance: N/A Responsibilities Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. Proven track record designing large scale data platforms on AWS. Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. Experience handling sensitive data with appropriate security, privacy, and compliance controls. Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). Databases: RDS, Aurora, DynamoDB. Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). Enterprise architecture framework experience (e.g., TOGAF). Experience with data cataloging and governance tools (e.g., Collibra, Alation). Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. Exposure to machine learning / advanced analytics enablement. Experience with data mesh or domain oriented data architecture. Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: July 2nd Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description AI DevOps Engineer You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment. Who we are: Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together - a future focused on serving the customer and powering and protecting the world. With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions. Who we are looking for: We are looking for an AI DevOps Engineer to support Atkore's newly established AI team. The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end. This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office. What you'll do : The AI DevOps Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore's enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms. The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards. Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms Partner with Enterprise Architecture to align AI platform design to long term technology standards and roadmaps Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations What you bring: BS / BA in Computer Science, Business or related field of study At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure as code tools (e.g. Terraform) Hands on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc) Strong understanding of enterprise security principles, identity management, and secure API design Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data Familiarity with Software Development Life Cycle and Agile delivery processes Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired Exposure to AI governance, model risk management, or responsible AI frameworks desired Strong analytical, problem-solving, and collaboration skills Ability to communicate effectively with both technical and non-technical stakeholders Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence Within 3 months, you'll: Have successfully completed your onboarding and immersion program, with a full understanding of what's expected of you as well as who the stakeholders are that you'll work closely with Have developed relationships with key stakeholders for this role Have partnered with Enterprise Architecture, Cybersecurity, and Data Services to align on a baseline AI infrastructure architecture aligned to Atkore enterprise standards, security controls, and cloud strategy Within 6 months, you'll: Be working collaboratively with Enterprise Architecture, Cybersecurity, and Data Services to define AI infrastructure guardrails (identity, access, logging, compliance) Be deploying an initial AI platform foundation (cloud and/or hybrid) capable of supporting early AI agent and model workloads Be implementing core DevOps / CI CD patterns for AI infrastructure, enabling repeatable and secure deployments Be successfully supporting first AI use cases or pilots by providing stable, secure infrastructure and rapid engineering support Be working closely with peers on the IT team on achieving KPI's, contributing ideas in the name of continuous improvement, regularly reviewing progress, establishing countermeasures where needed, and working collaboratively to achieve group objectives Within 12 months, you'll: Be expanding AI infrastructure to support multiple concurrent AI workloads, including model serving, data access, and agent execution Be working collaboratively with the Data Services and application teams to deliver secure API and data access patterns that enable AI solutions to integrate with enterprise data and business systems Be working collaboratively with Enterprise Architecture to standardize infrastructure as code and automation to reduce manual effort and improve platform resiliency Be working collaboratively with Enterprise Architecture to establish MLOps and platform monitoring practices for AI reliability, cost management, and performance transparency Atkore is a six-time Great Place to Work certified company and a four-time Top Workplaces USA award winner! We're committed to creating an engaged, aligned workforce driven by a collaborative culture. Our team strives for breakthrough results and stays focused on being standout leaders. We consistently live the Atkore mission, strategic priorities, and behaviors consistent with our core values. Join our team and align yourself with an industry leader! As of the date of this posting, a good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time. Other compensation may include, but not limited to, overtime, shift differentials, bonuses, commissions, stock, and other incentives. Benefits available include: Medical, vision, and dental insurance Life insurance Short-term and long-term disability insurance 401k Paid Time Off Paid holidays Any leave required under federal, state, or local law Benefits are subject to vesting and eligibility requirements. Applications are being accepted on an ongoing basis.

Job Description Job Description Job Title: AWS Application Production Support Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Type: Direct Hire Responsibilities Monitor AWS hosted applications and respond to production alerts and incidents. Perform incident triage using AWS consoles, application logs, monitoring tools, and available operational documentation. Investigate application and processing failures across AWS services, databases, and scheduled jobs. Support Amazon RDS and Amazon Redshift and troubleshoot database related application issues. Run and troubleshoot existing AutoSys jobs and scheduled processes. Monitor and troubleshoot existing CI/CD pipelines and operational processes. Identify likely root causes or failure points and recommend appropriate next steps. Restore services using approved production support procedures. Independently research solutions when existing knowledge articles do not fully address an issue. Escalate complex incidents to SMEs and engineering teams with complete diagnostic findings. Create, update, and track incidents and service requests in ServiceNow. Identify recurring manual activities and opportunities for operational automation. Maintain and improve knowledge articles and support documentation. Coordinate with application development, infrastructure, AWS, database, and business support teams. Requirements 5+ years of application or production support experience in an enterprise environment. Strong hands-on AWS production support experience, including AWS console navigation and cloud log analysis. Strong incident triage, troubleshooting, and production support skills. Hands on experience with Amazon RDS and Amazon Redshift. Experience with AutoSys or a comparable enterprise job scheduling platform. Understanding of DevOps and CI/CD processes, with experience running and troubleshooting existing pipelines. Strong log analysis skills and the ability to identify likely failure points across applications, AWS services, databases, and scheduled processes. Experience with ServiceNow or a comparable incident/ticket management platform. Ability to independently investigate issues when documented procedures are incomplete. Experience restoring services using approved operational procedures and escalating complex issues with clear diagnostic evidence. Strong analytical, troubleshooting, communication, and cross team coordination skills. Ability to work effectively in a time sensitive 24x7 production environment. Desired Skillset: ?Preferred: Python scripting/automation, AWS Associate level certification, and experience supporting enterprise HR, Finance, or other back office applications. Educational Requirements: ?Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Complete Staffing is partnering with an AWESOME organization to identify an experienced Senior DevOps Engineer to join its technology team. This is an excellent opportunity for a hands-on technical professional who enjoys solving complex engineering challenges, modernizing cloud infrastructure, and improving software delivery processes. The Senior DevOps Engineer will play a key role in advancing the organization's DevOps capabilities, with a focus on cloud engineering, infrastructure automation, platform engineering, system reliability, and emerging AI-enabled operational tools. This individual will serve as a senior technical resource, helping establish best practices, mentor fellow engineers, and develop scalable, secure, and repeatable solutions that improve the reliability and efficiency of technology operations. Key Responsibilities DevOps & CI/CD: Design, implement, and optimize continuous integration and continuous delivery pipelines to support reliable, secure, and repeatable software releases. Cloud Engineering: Develop and maintain scalable, secure, and cost-effective cloud and hybrid infrastructure, preferably within Microsoft Azure. Infrastructure Automation: Build automation solutions and Infrastructure as Code using tools such as Terraform, Bicep, PowerShell, Python, Azure DevOps, and GitHub Actions. Platform Engineering: Develop reusable deployment templates, self-service workflows, and standardized engineering practices that improve developer productivity and streamline delivery. Site Reliability Engineering: Apply reliability engineering principles to improve system availability, performance, incident response, capacity planning, and operational efficiency. Monitoring & Observability: Implement and enhance monitoring, logging, metrics, tracing, alerting, and dashboards to improve system visibility and accelerate troubleshooting. Technical Leadership: Serve as a technical escalation point, mentor other engineers, lead complex troubleshooting efforts, and promote engineering best practices. Security & Compliance: Integrate security controls into pipelines and automation, including secrets management, identity and access controls, vulnerability scanning, and compliance requirements. Environment Management: Automate environment provisioning, configuration management, patching, release readiness, and other operational processes. Cloud-Native Technologies: Support containerization and orchestration technologies, including Docker and Kubernetes, where appropriate. AI-Enabled Operations: Evaluate and responsibly leverage AI-assisted tools to improve troubleshooting, documentation, automation, and engineering productivity while maintaining appropriate security controls. Cross-Functional Collaboration: Partner with application development, infrastructure, database, security, and operations teams to improve deployment processes and production reliability. Documentation & Continuous Improvement: Maintain technical documentation, architecture diagrams, runbooks, and operational standards while researching new tools and technologies to improve engineering practices. Required Qualifications 5-7 years of progressive experience in DevOps, cloud engineering, systems engineering, platform engineering, infrastructure automation, or a related technical field. Hands-on experience designing, supporting, and improving CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or similar platforms. Strong scripting and automation skills using PowerShell, Python, Bash, or comparable languages. Experience with Infrastructure as Code tools such as Terraform, Bicep, ARM templates, or Ansible. Working knowledge of cloud infrastructure, preferably Microsoft Azure, including networking, compute, storage, identity, security, monitoring, and cost optimization. Understanding of modern DevOps practices, release management, infrastructure automation, and operational support. Familiarity with monitoring, logging, alerting, and observability tools such as Azure Monitor, Application Insights, Log Analytics, Grafana, Prometheus, Splunk, or similar technologies. Knowledge of DevSecOps principles, including secure pipeline design, secrets management, vulnerability scanning, and access controls. Experience supporting enterprise applications, databases, middleware, or other business-critical systems across development, testing, staging, and production environments. Strong troubleshooting, analytical, communication, and documentation skills. Ability to work independently, lead technical initiatives, and mentor engineers without requiring direct people-management responsibility. Preferred Qualifications Experience with platform engineering practices, internal developer platforms, self-service automation, and reusable deployment patterns. Knowledge of Site Reliability Engineering principles, including service-level indicators, service-level objectives, error budgets, incident reviews, and toil reduction. Experience with Docker, Kubernetes, container orchestration, and cloud-native application deployment. Familiarity with AI-assisted engineering and operations tools. Experience with hybrid infrastructure environments and enterprise application platforms. Industry certifications such as Microsoft Azure Administrator, Azure DevOps Engineer Expert, Azure Solutions Architect, HashiCorp Terraform Associate, Kubernetes, or related DevOps certifications. Education & Experience A bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is preferred. Equivalent combinations of education, certifications, and relevant professional experience will also be considered.

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Key Responsibilities Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives. Implement and maintain data governance, security, data quality, and integrity standards across data environments. Monitor and optimize database and data platform performance, scalability, reliability, and availability. Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or a related field. 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design. Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. Experience developing and automating large-scale data environments. Preferred Qualifications Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments. Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices. Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.

Job Description Job Description Job Title: Platform Engineer (DevOps) Location: Salt Lake City, UT Work Mode : 5 Days Onsite Duration : Contract to Hire Responsibilities • Design, build, and optimize enterprise CI/CD pipelines using GitHub Actions and other modern DevOps platforms • Administer enterprise Source Code Management (SCM) repositories, implementing branching strategies, release management, version control, and code integration best practices • Develop and maintain Infrastructure as Code (IaC) using Terraform to provision and manage cloud and hybrid infrastructure • Build, deploy, and support cloud-native microservices and RESTful APIs that power platform services and engineering automation • Deploy, configure, and manage containerized applications using Docker, Kubernetes (GKE), and Helm • Design reusable platform components, automation frameworks, engineering utilities, and integrations that improve developer productivity and operational efficiency • Champion DevSecOps principles by embedding security, compliance, governance, and quality controls throughout the software development lifecycle • Implement enterprise monitoring, logging, and observability solutions using Splunk, AppDynamics, and comparable platforms to improve system health, reliability, and operational visibility • Design, deploy, and support scalable cloud infrastructure on Google Cloud Platform (preferred) or AWS using cloud engineering best practices • Troubleshoot complex platform, infrastructure, networking, and deployment issues while driving continuous platform improvements • Partner with software engineers, cloud architects, infrastructure teams, and client stakeholders to deliver reliable enterprise platform solutions • Create and maintain technical documentation including platform architecture, deployment standards, engineering playbooks, and operational procedures • Mentor fellow engineers by promoting automation, engineering best practices, knowledge sharing, and continuous improvement Requirements • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline • 3+ years of experience as a Platform Engineer, DevOps Engineer, SRE, Cloud Engineer, Pipeline Engineer, or in a similar role • Strong programming and automation experience using Java, Python, TypeScript, JavaScript, Groovy, Bash, YAML, Perl, or Ruby • Experience developing microservices, RESTful APIs, and build automation using Maven and Gradle • Strong expertise with Git and modern Source Code Management practices, including branching strategies, release management, pull request workflows, and CI/CD tools like GitHub Actions, Azure DevOps, Jenkins, or GitLab CI/CD • Hands-on experience deploying and managing containerized applications using Docker, Kubernetes (GKE), Helm, and enterprise Kubernetes platforms such as OpenShift, Tanzu, Rancher (RKE), or similar • Experience implementing Infrastructure as Code (IaC) using Terraform, with familiarity in tools like Ansible, Puppet, or Chef • Knowledge of cloud-native infrastructure deployment on Google Cloud Platform (preferred) or AWS • Working knowledge of Linux and Windows operating systems supporting enterprise applications • Experience with enterprise monitoring, logging, and observability tools such as Splunk, AppDynamics, Prometheus, ELK/OpenSearch, or similar • Familiarity with relational and NoSQL databases including SQL Server, MySQL, PostgreSQL, MongoDB, and tools like Liquibase • Experience working within Agile methodologies including Scrum, Kanban, or SAFe • Excellent analytical, troubleshooting, communication, and collaboration skills • Passion for automation, continuous improvement, platform engineering, and enterprise solutions Preferred Qualifications • Supporting enterprise cloud migrations and platform modernization projects • Knowledge of security automation, policy-as-code, secrets management, and DevSecOps toolings • Implementing GitOps methodologies with Argo CD or Flux • Certifications such as Google Cloud Professional, Kubernetes (CKA/CKAD), Terraform, AWS, or similar • Supporting high-availability, mission-critical enterprise environments • Consulting experience with enterprise clients and cross-functional teams Ref: Pittsburgh

Job Description Job Description NASA Ames Research Center's Aviation Systems Division (Code AF) has developed specialized tools for airspace management, simulation, and data systems. These tools-Federated Airspace Management Framework (Freddie), National Airspace Digital Twin (NDT), and Sherlock data warehouse-are being upgraded for enhanced accessibility, AI/ML integration, and edge deployment. The Code AF Software Facility team is seeking experienced Python application developers to help refactor these tools, integrate them with visualization and AI/ML platforms, and support deployments in projects such as Advanced Air Mobility Pathfinders (AAMP) and Air Traffic Management/Safety (ATMS). Join our team as we build the technologies that will help drive modernization of the National Air Space. Required Skills and Experience Bachelor's Degree or higher in Computer Science or related engineering disciplines 3-5 years of experience (including relevant college projects) developing advanced applications in Python (3.x) and related frameworks in an Agile environment Experience with microservices, REST APIs, and asynchronous programming Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS) Experience with Continuous Integration/Deployment (CI/CD) pipelines, deployment automation, and cloud environments (AWS, Azure, GCP) Passion for quality and writing clean, solid, readable code that scales and performs well Proven interpersonal communication skills and the ability to collaborate with other developers to commit, test, and review code in GitHub Deep understanding of software quality assurance, automated testing, and documentation practices Other Desired Skills Experience in data engineering and AI/ML integration Working knowledge of the Atlassian toolset (JIRA, Confluence) Familiarity with aviation and/or air traffic management concepts EEOE Including Vets and Disability No Visa Sponsorship available for this opporunity

Job Description Job Description Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients. Description: Job Title: DevOps Lead Developer Work Location & Reporting Address: Chicago, IL 60604 (Hybrid) Vendor Rate: Contract duration: 12 months Target Start Date: 18 Sep 2026 Does this position require Visa independent candidates only? Yes Interview Process: Both and client interviews are video interviews. Job Details: Minimum years of experience required: 8-10 years Certification needed: ServiceNow Certified System Administrator (CSA) and Certified Admin Developer (CAD) Both certifications are mandatory. Must Have Skills: (Hands-on experience) "Devops "ServiceNow Developer Nice to Have Skills: None Detailed Job Description: Job Summary We are seeking an experienced ServiceNow DevOps Lead Developer to lead the design, development, and implementation of ServiceNow DevOps solutions and enterprise integrations. The ideal candidate will drive DevOps transformation initiatives by integrating ServiceNow with CI/CD and Agile toolchains, automating change management processes, and establishing scalable development standards. This role requires strong technical leadership, hands-on development expertise, integration experience, and the ability to collaborate with architects, developers, DevOps engineers, and business stakeholders to deliver enterprise-grade solutions. Key Responsibilities ServiceNow DevOps Development "Design, develop, and implement ServiceNow DevOps solutions. "Configure and support DevOps Change Velocity capabilities. "Automate change request creation and approval workflows from CI/CD pipelines. "Develop and maintain custom applications, workflows, and automation solutions. "Configure policies and controls to support compliant software delivery processes. "Translate business requirements into scalable ServiceNow solutions. "Drive adoption of ServiceNow DevOps best practices across teams. "Delivery of scalable, secure, and maintainable platform solutions. DevOps Toolchain Integrations "Design and implement integrations between ServiceNow and enterprise DevOps platforms. oIntegrate ServiceNow with tools such as: Azure DevOps, Jira, GitHub, GitLab, SonarQube. oDevelop integrations using: REST APIs, SOAP APIs, Integration Hub, Webhooks, Scripted REST APIs "Configure and manage authentication mechanisms including OAuth and API tokens. "Build reusable integration frameworks and components. "Troubleshoot and optimize integration performance and reliability. Pipeline and Change Automation "Integrate CI/CD pipelines with ServiceNow Change Management. "Automate Standard, Normal, and Emergency Change processes. "Configure approval policies and risk-based change automation. "Establish traceability across requirements, development, testing, deployment, and change activities. "Implement deployment governance and compliance controls. "Reduce manual intervention through intelligent automation. "Support end-to-end release orchestration and deployment visibility. Technical Leadership "Lead technical design discussions and architecture reviews. "Provide guidance to developers on ServiceNow development best practices. "Conduct code reviews and ensure adherence to coding standards. "Mentor and coach development teams. "Collaborate with Solution Architects, Enterprise Architects, and Platform Owners. "Review and validate technical solution designs and integration strategies. "Support estimation, sprint planning, and technical roadmap discussions. "Identify and mitigate technical risks and dependencies. ServiceNow Platform Development "Develop and maintain: Business Rules, Script Includes, Client Scripts, UI Policies, UI Actions, ACLs, Flow Designer Flows, Integration Hub Actions, Scheduled Jobs, Notifications, Import Sets and Transform Maps, Scripted REST APIs "Develop scalable and reusable platform components. "Ensure optimal platform performance and maintainability. "Follow ServiceNow development and security best practices. Release and Deployment Management "Support ServiceNow application lifecycle management. "Manage Update Sets, Source Control, and Application Repository deployments. "Define deployment and release standards. "Support release planning and deployment activities across environments. "Coordinate platform upgrades and assess integration impacts. "Implement version control and deployment governance practices. Governance, Security, and Compliance "Ensure solutions comply with enterprise security standards. "Implement secure coding and integration practices. "Maintain role-based access controls and data security requirements. "Participate in architecture, security, and governance reviews. "Maintain technical documentation and solution artifacts. "Ensure compliance with audit and regulatory requirements. "Promote platform standardization and reduction of technical debt. Preferred Certifications "ServiceNow Certified System Administrator (CSA) "ServiceNow Certified Application Developer (CAD) "ServiceNow Certified Implementation Specialist ITSM "ServiceNow DevOps Micro-Certification Experience 8 Years of Overall IT Experience "Minimum 8 years of ServiceNow development experience "Minimum 6 years of experience in DevOps integration and automation initiatives "Proven experience leading ServiceNow development and integration teams Custom Fields: Name: Intake Call Requested Value: true Name: Intake Call Completed Value: true EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.

Job Description Job Description Position: DevOps Engineer The DevOps Engineer 's roles and responsibilities are multifaceted, requiring technical agility and operations mindset simultaneously. It is essential to have communication and coordination skills to successfully integrate various functions in a coordinated manner and deliver the responsibilities to the company's needs. Responsibilities Develop and maintain CI/CD pipelines in Azure DevOps to deploy notebooks, jobs, and workflows to Azure Databricks. Integrate Databricks Repos with Azure Repos (Git) for source control of PySpark/R notebooks. Automate job runs in Databricks using Databricks CLI, REST API, or DevOps tasks. Maintain infrastructure-as-code practices (e.g., using Terraform). Monitor and troubleshoot pipeline failures, notebook issues, and deployment inconsistencies. Collaborate with Data Engineers and Platform teams to maintain development, staging, and production environments. Implement best practices for version control, testing, and notebook promotion in a multi-environment setup. Store and manage Databricks secrets, tokens, and configuration securely within Azure Key Vault and DevOps variable groups. Understand and apply DevOps practices in a data platform context. Position Requirements Bachelor's degree in computer science, Information Technology, or related or an equivalent combination of education and experience. Minimum of three (3) years of experience in DevOps engineering or a related role, with a focus on Microsoft Azure, including other cloud-based data integration and associated technologies. Proficiency with data analytics and AI platforms and automating notebook execution. Proficiency in scripting languages for automation and various programming. Compensation The base salary range for this role is $138,000 to $182,000 and reflects the range of experience and qualifications we may consider. Final compensation will be determined based on geographic location and job-related factors such as experience, skills, education, certifications, and internal compensation considerations. While a larger range is posted, most offers will typically fall within a narrower band based on these factors. Benefits Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources Time Off & Leave - 20 PTO days, 7 paid holidays, and 1 floating day to make your own, and paid parental leave Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts About Monogram Health Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders. Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home. Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.

Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: June, 1st at 3pm Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Job Title: Senior Windows Server / Cloud DevOps Engineer Location: Onsite Washington, District Of Columbia Work Model: Onsite - onsite Responsibilities Own Windows Server production operations (day one), providing hands-on support for mission-critical applications hosted in government cloud (AWS GovCloud). Administer, troubleshoot, patch, harden, and recover Windows Server systems to maintain availability. Take ownership of Kubernetes environment (EKS), operating and troubleshooting production workloads independently. Lead incident response activities, conducting root-cause analysis across Windows, cloud, and container platforms. Design, implement, and maintain secure, scalable cloud architectures across Windows and Linux systems, either independently or leading small teams. Develop and manage Infrastructure as Code using Terraform and Ansible to automate environment provisioning and configuration. Create and maintain CI/CD pipelines and DevSecOps automation aligned with industry standards. Design and implement monitoring, logging, and alerting solutions to ensure system availability and performance. Enforce security best practices, including identity management and system hardening for federal environments. Produce technical documentation, runbooks, and SOPs; mentor junior and mid-level engineers; provide technical leadership in DevOps practices. Requirements Strong, current experience with Windows Server operations - including support, troubleshooting, maintenance, and patching. Hands-on expertise in Kubernetes (EKS), capable of independent operation and troubleshooting in a production environment. At least 10 years of relevant IT/engineering experience, with 3+ years supporting cloud engineering environments. Experience with AWS GovCloud. Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's may substitute for experience. Ability to work independently in complex, secure environments with strong analytical and troubleshooting skills. Excellent written and verbal communication skills, with demonstrated technical leadership and mentoring abilities. Ability to obtain and maintain a Federal Public Trust (or higher) clearance; active clearance preferred. Willingness and ability to participate in a production on-call rotation. Preferred skills include PowerShell scripting, Microsoft/Windows certifications, Terraform, Ansible, Kubernetes security, and experience with FISMA, NIST, and FedRAMP frameworks. Cloud certifications like AWS DevOps Engineer are a plus. Additional familiarity with PKI, identity services, scripting in Python and Bash, and supporting large enterprise systems is advantageous. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Pay Rate Range: $ 46.96 - 50.75/hr. Job Description: Key Responsibilities: •Work with business/data product team to translate given business problem into analytical solution with defined outcomes. •Analyze the data in depth, informatica MFT, using SQLs and other exploratory tools against various platforms such as Bigdata, Oracle, SQL Server and others. •Convert business requirements to functional requirements, with detailed transformation rules for ETL team. This is a very technical hands-on role and mandatory to have Informatica MFT, DBT and snowflake •Work closely with the ETL and data science teams to review the requirements and data integrations. •Understand the requirements from Business and Data Science. Understand the business and business impact on use cases. •Write validation scripts to validate the data loaded by ETL team an assess using MFT / DBT. •Work with IT and business customers to develop and design requirements to formulate technical design. •Skills to understand the right functional domain knowledge of the business to be able to gather right requirements for the design. •Capture meta data, data lineage, reference data management and data quality rules as part of data governance. •Work with team spread across the globe in driving the delivery of projects. Required Skills/Knowledge: •Bachelor's degree in computer science, Engineering, or related discipline. •8 years of solutions development / analysis experience, including 5 years in data management/engineering organization. •Proficient understanding of distributed computing principles and informatica Scripts / MFT •Extensive experience in data analysis and data modeling (table design). •Proficiency in SQLs and data exploratory tools. •Extensive experience writing functional requirements and high-level design documents. •Experience in writing validation scripts to validate the data, data integrations and ETL transformations. •Analytical skills to analyze situations and come to optimal and efficient solution based on requirements. •Strong data analysis and profiling skills. •Data warehouse concepts. •Strong analytical skills related to working with unstructured datasets. •SQL knowledge and data analysis skills for data anomaly detection and data quality assurance. •Excellent communication skills, both written and verbal Preferred: •Experience working on MFT and DBT skills and should posses cloud knowledge. •Strong background or working experience in Insurance Industry as a Lead analyst. •Ability to interact with senior leadership teams in IT and business raise the required defect and track project end to using manual or automation design creation. •Should have good SQL knowledge/ AWS and snowflake. •Should be good in Agile methodologies and SDLC process. Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNDigital : SnowflakeYes1>7 years

Job Description Job Description Description: Direct Hire Hybrid schedule in Plano, TX Comp range: $150-180K 15% travel (including int 'l ) MUST BE US CITIZEN or GREEN CARD HOLDER (No C2C) JOB DESCRIPTION Architect the Future of Enterprise Intelligence The Senior Data Architect provides technical leadership across the company's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans traditional data management (DBMS, data modeling, warehousing, governance) and modern cloud native/AI data engineering on AWS, including bronze, silver, gold patterns, Generation (RAG) for LLMs, and data products that serve Cloud-native SaaS application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g., Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and feature/knowledge layers to support SageMaker training/inference and Amazon Bedrock applications (e.g., Knowledge Bases, Guardrails, Agents, and Invoke Model/Converse orchestration). Lead RAG architectures (chunking, embeddings, retrieval) using vector databases such as Amazon OpenSearch Serverless (vector search) or Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set prompt, context, and token budget standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems: SQL Server, PostgreSQL, MongoDB, including schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern EDW/ Lakehouse/ODS patterns; integrate with .NET/C# services and Angular frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define API and data contract standards (REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for .NET/C# and Angular consumers. Orchestrate ingestion from SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g., MSK/Kinesis, DMS, Glue). Partner with Solution/Platform Architects to ensure microservices and event driven designs are data efficient and observability ready. Data Governance, Quality & Observability Implement data governance (policies, stewardship, data classification), cataloging (Glue Data Catalog), lineage (Open Lineage compatible), and quality (rules, thresholds, SLAs/SLOs). Embed monitoring & cost governance (CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with data minimization, tokenization, masking, and access controls across environments. Define secure patterns for model inputs/outputs (LLM safety), prompt hygiene, and guardrails to prevent leakage or misuse. Delivery Leadership & Collaboration Produce architecture blueprints, target state designs, and build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead design reviews, threat modeling, and cost/performance reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of engineering excellence and learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g., AWS Data Analytics/Solutions Architect preferred). 10+ years designing and delivering enterprise data solutions, including hands-on work with both traditional DBMS and cloud native data platforms. 5+ years building on cloud platforms with production experience in several of: S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing data propagation Lakehouse patterns and governance at scale. Proven track record supporting AI/ML workloads (feature stores, model data pipelines) and delivering RAG solutions with vector search on AWS. Strong SQL and Python; proficiency in data modeling - IFC (preferred), 3NF, dimensional/star, data vault, etc. DBMS: SQL Server, PostgreSQL (schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering: Spark/EMR, Glue (ETL/ELT & Studio), Airflow/Step Functions orchestration, Parquet/Delta/Iceberg. Streaming/CDC: MSK/Kinesis, DMS (change data capture), event driven patterns. Security & Governance: IAM, KMS, Lake Formation, Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement: Amazon Bedrock (Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval, prompt design, token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs, cost controls (storage/compute), workload rightsizing. DevOps/MLOps/IaC: Git, CI/CD for data pipelines; Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with Redshift RA3/Spectrum, materialized views, workload management, and federated queries (Athena/Glue). Familiarity with Power BI / Microsoft Fabric and Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies (anonymization, differential privacy), policy as code, and guardrail frameworks. Experience working with geographically distributed teams and regulated data. Strategic thinking with the ability to balance short-term increments and long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Tulsa

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a senior technical leader to own enterprise data architecture and serve as the Technical Product Owner for the Modern Disability Claims (MDC) data pipeline. This position combines hands-on architectural direction with independent product prioritization, backlog decisions, sprint delivery accountability, and mentorship for Scrum teams. The successful candidate will translate mission and program priorities into scalable designs, clear engineering work, and measurable delivery outcomes while communicating effectively with senior SteerBridge and VA stakeholders. Key Responsibilities Own the target-state architecture for claims, clinical, and healthcare data, including conceptual, logical, and physical models, integration patterns, and cloud data platforms. Independently prioritize and maintain the technical product backlog; define epics, user stories, acceptance criteria, dependencies, and delivery priorities in partnership with mission stakeholders. Own product decisions and sprint delivery outcomes for data engineering Scrum teams; guide sprint planning, refinement, reviews, and continuous improvement in coordination with team facilitators. Provide experienced leadership and mentorship to MDC Scrum teams, establishing mature Agile delivery practices, improving backlog refinement, sprint planning, execution discipline, and delivery predictability. Coach engineers, junior architects, and Scrum team members in technical delivery, product ownership practices, and architecture standards. Design scalable batch and real-time ETL/ELT pipelines, schema evolution, data quality controls, lineage, observability, and governance. Direct cloud platform architecture and technology decisions across AWS, Azure, or GCP and enterprise warehouse/lake technologies. Apply appropriate access controls, sensitive-data safeguards, and federal and healthcare data handling requirements. Enable analytics and AI/ML use cases through reliable, governed, reusable data infrastructure. Lead architecture reviews, resolve cross-system tradeoffs, and communicate roadmaps, risks, priorities, and technical decisions to executive and government stakeholders. Required Qualifications U.S. citizenship and ability to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). Bachelor's degree or higher in Computer Science, Systems Engineering, Data Science, or a related field. At least six years of professional data architecture experience and at least two years of demonstrated, hands-on technical Product Owner experience, including independent responsibility for backlog prioritization, product decisions, and Scrum delivery. These experiences may be concurrent, provided both capabilities are clearly demonstrated. Demonstrated enterprise-scale data architecture ownership in a cloud environment, including data modeling, platform design, and data integration. Actual experience independently prioritizing a technical product backlog, making backlog decisions, and guiding sprint execution for an engineering or data team; a formal Product Owner job title is not required. Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices. Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git). Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms. Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams. Ability to work in a hybrid arrangement based in Vienna, VA, with an expected on-site presence of at least three days per week, subject to supervisor direction. Preferred Qualifications Experience with federal claims, healthcare, clinical, or other regulated and sensitive data environments, including HIPAA and federal data requirements. Experience establishing enterprise data modeling standards, master data management, metadata catalogs, lineage, and data governance. Familiarity with dimensional modeling, Data Vault, OLTP/OLAP architecture, and hybrid or multi-cloud design. Experience supporting AI/ML-ready data platforms, analytics, feature pipelines, and data science teams. Infrastructure as code, CI/CD, DevOps, and cost/performance governance for cloud data platforms. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.