BOOZ, ALLEN & HAMILTON, INC.
Charlottesville, Virginia
Job Description Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research, to national intelligence. As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: 3+ years of experience supporting operations and maintenance for secure DoW information management systems 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data 3+ years of experience with Python, SQL, Scala, or Java 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics Experience using version control tools such as GitLab, GitHub, or Bitbucket Experience creating solutions within a collaborative and cross-functional team environment Ability to develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platforms TS/SCI clearance HS diploma or GED Ability to obtain a DoD 8570 or 8140 IAT Level II Certification within 30 days of hire date Nice If You Have: Experience with Terraform, Kubernetes, or Docker Experience with systems administration using UNIX or Linux, including basic commands and scripting such as Bash, Ansible, or YAML Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience with NoSQL implementation, including MongoDB or Cassandra Experience with data warehousing using AWS Redshift, MySQL, or Snowflake Experience with Agile development techniques and ceremonies Experience with the Atlassian tool suite, including Jira and Confluence Bachelor's degree in a Data or IT related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
11/08/2026
Full time
Job Description Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research, to national intelligence. As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: 3+ years of experience supporting operations and maintenance for secure DoW information management systems 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data 3+ years of experience with Python, SQL, Scala, or Java 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics Experience using version control tools such as GitLab, GitHub, or Bitbucket Experience creating solutions within a collaborative and cross-functional team environment Ability to develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platforms TS/SCI clearance HS diploma or GED Ability to obtain a DoD 8570 or 8140 IAT Level II Certification within 30 days of hire date Nice If You Have: Experience with Terraform, Kubernetes, or Docker Experience with systems administration using UNIX or Linux, including basic commands and scripting such as Bash, Ansible, or YAML Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience with NoSQL implementation, including MongoDB or Cassandra Experience with data warehousing using AWS Redshift, MySQL, or Snowflake Experience with Agile development techniques and ceremonies Experience with the Atlassian tool suite, including Jira and Confluence Bachelor's degree in a Data or IT related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Job Description Job Title: Senior Power BI Developer - On-Premises BI & Reporting (Remote) Location: Raleigh, NC Duration: 12 Months Interview Type: Either Webcam Interview or In Person Job Description: We are seeking a Senior Power BI Developer - On-Premises BI & Reporting to join our client's team on a remote basis for a 12-month engagement. NCDIT-T is seeking a Technical Specialist - Expert that will function as an On-Premise Business Intelligence Developer / Microsoft Power BI Developer, for both internal (DOT Business Units) and external (public facing, citizen based) Dashboards and Reports. This role will support the DMV's ongoing need for departmental dashboarding, visualization, and reporting. This roles primary focus is to guide business data owners indefining, measuring and analyzing processes to identify improvement andcommunication opportunities. Thiscontractor will understand and incorporate existing design standards into newdashboarding standards for the department. Key Responsibilities: Core Responsibilities - Develop,maintain and manage dashboards and reports in Power BI Desktop and deploy asdirected to Power BI Server. - CreateData Sources in Power BI Server and manage the certification, update process,and other key data management features. - DevelopTechnical requirements and solution documents from functional specifications. - Assistwith training documentation and knowledge transfer to colleagues at NCDIT-T. Required Qualifications: - Data modeling and relationships (6+ years) (Preferred). - Power Query and ETL (5+ years) (Preferred). - Complex reporting and Dashboard design (7+ years) (Preferred). - Workspace Administration and Governance (4+ years). - Databricks integration (3+ years). - User access and security management (3+ years). - M365 automation and integration (3+ years) (Preferred). - Service Now ticketing (2+ years) (Preferred). - Analytical thinking (5+ years). - Role requires at least 7 years' experience andproven expertise in Power BI dashboarding, visualization, and reporting (Preferred). - Government experience preferable. Position Requirements: - Remote position. - Candidate must be available for an in-person interview. - Remote position - Locals preferred. Skill Matrix: Data modeling and relationships (6+ Years): Preferred Power Query and ETL (5+ Years): Preferred Complex reporting and Dashboard design (7+ Years): Preferred Workspace Administration and Governance (4+ Years): Required Databricks integration (3+ Years): Required User access and security management (3+ Years): Required M365 automation and integration (3+ Years): Preferred Service Now ticketing (2+ Years): Preferred Analytical thinking (5+ Years): Required About GSK Solutions Inc: GSK Solutions Inc. is a leading IT services company specializing in consulting solutions and staff augmentation. We deliver high-quality, on-time, and cost-effective solutions, consistently exceeding client expectations with superior execution.
11/08/2026
Full time
Job Description Job Title: Senior Power BI Developer - On-Premises BI & Reporting (Remote) Location: Raleigh, NC Duration: 12 Months Interview Type: Either Webcam Interview or In Person Job Description: We are seeking a Senior Power BI Developer - On-Premises BI & Reporting to join our client's team on a remote basis for a 12-month engagement. NCDIT-T is seeking a Technical Specialist - Expert that will function as an On-Premise Business Intelligence Developer / Microsoft Power BI Developer, for both internal (DOT Business Units) and external (public facing, citizen based) Dashboards and Reports. This role will support the DMV's ongoing need for departmental dashboarding, visualization, and reporting. This roles primary focus is to guide business data owners indefining, measuring and analyzing processes to identify improvement andcommunication opportunities. Thiscontractor will understand and incorporate existing design standards into newdashboarding standards for the department. Key Responsibilities: Core Responsibilities - Develop,maintain and manage dashboards and reports in Power BI Desktop and deploy asdirected to Power BI Server. - CreateData Sources in Power BI Server and manage the certification, update process,and other key data management features. - DevelopTechnical requirements and solution documents from functional specifications. - Assistwith training documentation and knowledge transfer to colleagues at NCDIT-T. Required Qualifications: - Data modeling and relationships (6+ years) (Preferred). - Power Query and ETL (5+ years) (Preferred). - Complex reporting and Dashboard design (7+ years) (Preferred). - Workspace Administration and Governance (4+ years). - Databricks integration (3+ years). - User access and security management (3+ years). - M365 automation and integration (3+ years) (Preferred). - Service Now ticketing (2+ years) (Preferred). - Analytical thinking (5+ years). - Role requires at least 7 years' experience andproven expertise in Power BI dashboarding, visualization, and reporting (Preferred). - Government experience preferable. Position Requirements: - Remote position. - Candidate must be available for an in-person interview. - Remote position - Locals preferred. Skill Matrix: Data modeling and relationships (6+ Years): Preferred Power Query and ETL (5+ Years): Preferred Complex reporting and Dashboard design (7+ Years): Preferred Workspace Administration and Governance (4+ Years): Required Databricks integration (3+ Years): Required User access and security management (3+ Years): Required M365 automation and integration (3+ Years): Preferred Service Now ticketing (2+ Years): Preferred Analytical thinking (5+ Years): Required About GSK Solutions Inc: GSK Solutions Inc. is a leading IT services company specializing in consulting solutions and staff augmentation. We deliver high-quality, on-time, and cost-effective solutions, consistently exceeding client expectations with superior execution.
Job Description NO C2C or 1099 W2 Contract : Senior Power BI Developer / Business Intelligence Develope r Location: Raleigh, NC - Remote Experience: 7+ Years Job Overview We are looking for an experienced Power BI Developer to design, develop, maintain, and manage interactive dashboards and reports for internal business teams and external users. The ideal candidate will have strong expertise in Power BI Desktop, Power BI Server, data modeling, dashboard development, and reporting. The role also involves working with business stakeholders to understand reporting requirements, analyze business processes, establish dashboarding standards, and deliver reliable BI solutions. Key Responsibilities Develop, maintain, and manage dashboards and reports using Power BI Desktop. Deploy Power BI reports to Power BI Server as required. Create and manage data sources in Power BI Server, including certification and update processes. Support data management, reporting standards, and dashboard governance. Work with business data owners to define, measure, and analyze business processes. Identify opportunities for process improvements and better communication through data visualization. Translate functional specifications into technical requirements and solution documentation. Prepare training materials and provide knowledge transfer to team members. Ensure dashboards and reports meet business requirements and established design standards. Required Skills and Experience 7+ years of experience in Power BI development, dashboarding, visualization, and reporting. Strong experience with data modeling and relationships. Hands-on experience with Power Query and ETL. Experience designing complex reports and dashboards. Experience with workspace administration and governance. Experience integrating Databricks with Power BI. Experience managing user access and security. Strong analytical and problem-solving skills. Ability to prepare technical documentation and communicate with business stakeholders. Desired Skills Experience with Microsoft 365 automation and integration. Experience with ServiceNow ticketing. Government or public-sector project experience. Strong understanding of business intelligence standards and reporting practices.
11/08/2026
Full time
Job Description NO C2C or 1099 W2 Contract : Senior Power BI Developer / Business Intelligence Develope r Location: Raleigh, NC - Remote Experience: 7+ Years Job Overview We are looking for an experienced Power BI Developer to design, develop, maintain, and manage interactive dashboards and reports for internal business teams and external users. The ideal candidate will have strong expertise in Power BI Desktop, Power BI Server, data modeling, dashboard development, and reporting. The role also involves working with business stakeholders to understand reporting requirements, analyze business processes, establish dashboarding standards, and deliver reliable BI solutions. Key Responsibilities Develop, maintain, and manage dashboards and reports using Power BI Desktop. Deploy Power BI reports to Power BI Server as required. Create and manage data sources in Power BI Server, including certification and update processes. Support data management, reporting standards, and dashboard governance. Work with business data owners to define, measure, and analyze business processes. Identify opportunities for process improvements and better communication through data visualization. Translate functional specifications into technical requirements and solution documentation. Prepare training materials and provide knowledge transfer to team members. Ensure dashboards and reports meet business requirements and established design standards. Required Skills and Experience 7+ years of experience in Power BI development, dashboarding, visualization, and reporting. Strong experience with data modeling and relationships. Hands-on experience with Power Query and ETL. Experience designing complex reports and dashboards. Experience with workspace administration and governance. Experience integrating Databricks with Power BI. Experience managing user access and security. Strong analytical and problem-solving skills. Ability to prepare technical documentation and communicate with business stakeholders. Desired Skills Experience with Microsoft 365 automation and integration. Experience with ServiceNow ticketing. Government or public-sector project experience. Strong understanding of business intelligence standards and reporting practices.
Job Description Job ID: 812138 Job Title: Power BI Developer Work Arrangement: Fully Remote Work Location: 1020 Birch Ridge Drive, Raleigh, NC 27610 Interview Type: Web Cam Interview Only Job Description: The client is seeking an experienced Power BI Developer / Business Intelligence Developer to design, develop, and maintain internal and public-facing dashboards, reports, and data visualizations. The resource will work with business stakeholders to analyze data, improve reporting processes, and establish dashboarding standards. Key Responsibilities • Develop, maintain, and manage dashboards and reports using Power BI Desktop and Power BI Server. • Create and manage Power BI data sources, certification, and data refresh processes. • Perform data modeling, ETL, and data integration. • Manage Power BI workspaces, governance, user access, and security. • Integrate Power BI with Databricks and Microsoft 365. • Translate functional specifications into technical requirements and solution documents. • Prepare training documentation and provide knowledge transfer. Required Skills & Experience • 7+ years of experience in Power BI development, dashboarding, and reporting. • 6+ years of experience in data modeling and relationships. • 5+ years of experience with Power Query and ETL. • 4+ years of experience in workspace administration and governance. • 3+ years of experience with Databricks integration. • 3+ years of experience in user access and security management. • Strong analytical and problem-solving skills. Preferred Qualifications • Experience with Microsoft 365 automation and integration. • Familiarity with ServiceNow ticketing. • Previous government or public-sector experience.
11/08/2026
Full time
Job Description Job ID: 812138 Job Title: Power BI Developer Work Arrangement: Fully Remote Work Location: 1020 Birch Ridge Drive, Raleigh, NC 27610 Interview Type: Web Cam Interview Only Job Description: The client is seeking an experienced Power BI Developer / Business Intelligence Developer to design, develop, and maintain internal and public-facing dashboards, reports, and data visualizations. The resource will work with business stakeholders to analyze data, improve reporting processes, and establish dashboarding standards. Key Responsibilities • Develop, maintain, and manage dashboards and reports using Power BI Desktop and Power BI Server. • Create and manage Power BI data sources, certification, and data refresh processes. • Perform data modeling, ETL, and data integration. • Manage Power BI workspaces, governance, user access, and security. • Integrate Power BI with Databricks and Microsoft 365. • Translate functional specifications into technical requirements and solution documents. • Prepare training documentation and provide knowledge transfer. Required Skills & Experience • 7+ years of experience in Power BI development, dashboarding, and reporting. • 6+ years of experience in data modeling and relationships. • 5+ years of experience with Power Query and ETL. • 4+ years of experience in workspace administration and governance. • 3+ years of experience with Databricks integration. • 3+ years of experience in user access and security management. • Strong analytical and problem-solving skills. Preferred Qualifications • Experience with Microsoft 365 automation and integration. • Familiarity with ServiceNow ticketing. • Previous government or public-sector experience.
Job Description Job Description Role Descriptions: Develop and maintain applications using C#, .NET, Angular, and TypeScript. Build responsive UI using Angular & Angular Material. Develop and integrate REST APIs and services. Work with SQL/T-SQL, Entity Framework, and Azure SQL. Develop data pipelines using Azure Data Factory and Databricks. Work with Azure Functions and Azure DevOps. Perform unit testing, debugging, TDD, and code quality activities. Participate in Agile ceremonies, sprint planning, and backlog refinement. Contribute to architecture, design, and scalable solution development. Use CI/CD and Infrastructure as Code (Pulumi). Support AI/ML and data-driven solutions. Work with Agentic AI / Semantic Kernel / Azure AI Foundry. Use AI-assisted development tools such as GitHub Copilot, Codex, or Claude Code. Mentor junior developers and collaborate with cross-functional teams. Own user stories and deliver features independently.
11/08/2026
Full time
Job Description Job Description Role Descriptions: Develop and maintain applications using C#, .NET, Angular, and TypeScript. Build responsive UI using Angular & Angular Material. Develop and integrate REST APIs and services. Work with SQL/T-SQL, Entity Framework, and Azure SQL. Develop data pipelines using Azure Data Factory and Databricks. Work with Azure Functions and Azure DevOps. Perform unit testing, debugging, TDD, and code quality activities. Participate in Agile ceremonies, sprint planning, and backlog refinement. Contribute to architecture, design, and scalable solution development. Use CI/CD and Infrastructure as Code (Pulumi). Support AI/ML and data-driven solutions. Work with Agentic AI / Semantic Kernel / Azure AI Foundry. Use AI-assisted development tools such as GitHub Copilot, Codex, or Claude Code. Mentor junior developers and collaborate with cross-functional teams. Own user stories and deliver features independently.
Job Description Job Description Description: At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results. We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here. Why You'll Love Working Here Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight. People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here. Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process. Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart. What You'll Do Working under the guidance of the MDM Technical Lead, you'll provide hands-on technical development and delivery support for MDM services: Use the Informatica MDM tool to combine source data from agency sources, applying required transformations, applying corrections to the source files, and adding new fields via the change request process. Support MDM development and operational activities using working knowledge of Informatica MDM. Automate the staging of data by scheduling scripts to run at optimal times, enhancing overall system performance and efficiency. Implement MDM jobs by creating mappings, mapplets, sessions, and workflows. Work with different ETL transformations, including Aggregator, Expression, Filter, Router, Sequence Generator, Update Strategy, Joiner, Rank and Source Qualifier, Lookup, and Sorter. Schedule and monitor ETL/Informatica jobs in development, system testing, and production environments. Troubleshoot post-release production support issues and develop solutions. Develop, maintain, and analyze complex SQL queries and scripts used to create data marts in Teradata. Work directly with the QA team to support defect resolution, validation, and testing of MDM-related processes. Participate in project discussions to document and recommend alternative technical solutions or requirements, and in unit, integration, and system testing. Requirements: What You Bring 5+ years of experience in MDM, ETL/ELT, data engineering, or data integration development. 3+ years of hands-on Informatica MDM implementation experience. Experience developing ETL mappings, mapplets, sessions, workflows, transformations, scheduling, monitoring, and troubleshooting Informatica jobs. SQL experience, with large MDM and DBMS enterprise relational platforms. Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts. Experience supporting ETL/MDM operations, performance tuning, issue resolution, and SDLC delivery. Experience with Python programming for scripting, automation, testing, or data processing support. Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience. If your experience got you here another way, apply anyway. Preferred Qualifications Experience working in other MDM tools, including cloud-native MDM solutions. Experience working in State government, public sector, or regulated environments. Experience with Agile/Scrum sprint development and iterative/incremental delivery. Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data. Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR. Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, or Data Lake. Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives. Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality. Ability to operate in a telecommute environment and matrix organization with minimal direction. Come Build With Us At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment- apply today!
11/08/2026
Full time
Job Description Job Description Description: At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results. We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here. Why You'll Love Working Here Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight. People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here. Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process. Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart. What You'll Do Working under the guidance of the MDM Technical Lead, you'll provide hands-on technical development and delivery support for MDM services: Use the Informatica MDM tool to combine source data from agency sources, applying required transformations, applying corrections to the source files, and adding new fields via the change request process. Support MDM development and operational activities using working knowledge of Informatica MDM. Automate the staging of data by scheduling scripts to run at optimal times, enhancing overall system performance and efficiency. Implement MDM jobs by creating mappings, mapplets, sessions, and workflows. Work with different ETL transformations, including Aggregator, Expression, Filter, Router, Sequence Generator, Update Strategy, Joiner, Rank and Source Qualifier, Lookup, and Sorter. Schedule and monitor ETL/Informatica jobs in development, system testing, and production environments. Troubleshoot post-release production support issues and develop solutions. Develop, maintain, and analyze complex SQL queries and scripts used to create data marts in Teradata. Work directly with the QA team to support defect resolution, validation, and testing of MDM-related processes. Participate in project discussions to document and recommend alternative technical solutions or requirements, and in unit, integration, and system testing. Requirements: What You Bring 5+ years of experience in MDM, ETL/ELT, data engineering, or data integration development. 3+ years of hands-on Informatica MDM implementation experience. Experience developing ETL mappings, mapplets, sessions, workflows, transformations, scheduling, monitoring, and troubleshooting Informatica jobs. SQL experience, with large MDM and DBMS enterprise relational platforms. Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts. Experience supporting ETL/MDM operations, performance tuning, issue resolution, and SDLC delivery. Experience with Python programming for scripting, automation, testing, or data processing support. Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience. If your experience got you here another way, apply anyway. Preferred Qualifications Experience working in other MDM tools, including cloud-native MDM solutions. Experience working in State government, public sector, or regulated environments. Experience with Agile/Scrum sprint development and iterative/incremental delivery. Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data. Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR. Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, or Data Lake. Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives. Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality. Ability to operate in a telecommute environment and matrix organization with minimal direction. Come Build With Us At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment- apply today!
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
11/08/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
JOB TITLE: Junior API Developer JOB LOCATION: Remote - EST and Central WAGE RANGE : $40-45/hr. JOB NUMBER: 26-01608 JOB DESCRIPTION: We are seeking a motivated Junior Backend Engineer to support the development and maintenance of scalable backend services and data-driven applications. In this role, you will work closely with senior engineers to design, build, test, and optimize RESTful APIs and backend components while contributing to data processing workflows using Databricks and SQL/Python. You will gain hands-on experience in microservices architecture, cloud environments, and modern DevOps practices while helping troubleshoot production issues and improve system performance. This position is ideal for early-career engineers looking to strengthen their expertise in Java, Python, data processing, and cloud-based backend development within an Agile team environment. Job Summary: We are seeking a motivated Junior Backend Engineer to support the development and maintenance of scalable backend services and data-driven applications. In this role, you will work closely with senior engineers to design, build, test, and optimize RESTful APIs and backend components while contributing to data processing workflows using Databricks and SQL/Python. You will gain hands-on experience in microservices architecture, cloud environments, and modern DevOps practices while helping troubleshoot production issues and improve system performance. This position is ideal for early-career engineers looking to strengthen their expertise in Java, Python, data processing, and cloud-based backend development within an Agile team environment. Key Responsibilities: Backend Development & API Engineering Develop and maintain RESTful APIs and backend services using Java (Spring Boot) and Python Contribute to microservices architecture, testing, debugging, and performance optimization Troubleshoot backend and API issues in development and production environments Data Processing & Database Management Build and support data processing workflows using Databricks notebooks (SQL / Python) Write, optimize, and maintain complex PostgreSQL queries and data models Diagnose and resolve data-related issues to ensure accuracy and performance Cloud, DevOps & Team Collaboration Work within Azure or AWS cloud environments and follow CI/CD best practices Participate in Agile ceremonies and collaborate with senior engineers on design and delivery Communicate effectively to support cross-functional problem solving and production support Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
11/07/2026
Full time
JOB TITLE: Junior API Developer JOB LOCATION: Remote - EST and Central WAGE RANGE : $40-45/hr. JOB NUMBER: 26-01608 JOB DESCRIPTION: We are seeking a motivated Junior Backend Engineer to support the development and maintenance of scalable backend services and data-driven applications. In this role, you will work closely with senior engineers to design, build, test, and optimize RESTful APIs and backend components while contributing to data processing workflows using Databricks and SQL/Python. You will gain hands-on experience in microservices architecture, cloud environments, and modern DevOps practices while helping troubleshoot production issues and improve system performance. This position is ideal for early-career engineers looking to strengthen their expertise in Java, Python, data processing, and cloud-based backend development within an Agile team environment. Job Summary: We are seeking a motivated Junior Backend Engineer to support the development and maintenance of scalable backend services and data-driven applications. In this role, you will work closely with senior engineers to design, build, test, and optimize RESTful APIs and backend components while contributing to data processing workflows using Databricks and SQL/Python. You will gain hands-on experience in microservices architecture, cloud environments, and modern DevOps practices while helping troubleshoot production issues and improve system performance. This position is ideal for early-career engineers looking to strengthen their expertise in Java, Python, data processing, and cloud-based backend development within an Agile team environment. Key Responsibilities: Backend Development & API Engineering Develop and maintain RESTful APIs and backend services using Java (Spring Boot) and Python Contribute to microservices architecture, testing, debugging, and performance optimization Troubleshoot backend and API issues in development and production environments Data Processing & Database Management Build and support data processing workflows using Databricks notebooks (SQL / Python) Write, optimize, and maintain complex PostgreSQL queries and data models Diagnose and resolve data-related issues to ensure accuracy and performance Cloud, DevOps & Team Collaboration Work within Azure or AWS cloud environments and follow CI/CD best practices Participate in Agile ceremonies and collaborate with senior engineers on design and delivery Communicate effectively to support cross-functional problem solving and production support Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
Wilson Elser - Business & Legal Professionals
New York, New York
Job Description Job Description At Wilson Elser, we are redefining what it means to work at a national law firm. With more than 1,400 attorneys across 46 offices nationwide, we are recognized among the top 100 law firms by The American Lawyer and ranked in the National Law Journal's survey of the nation's largest law firms. Our continued success is built on a culture of collaboration, innovation, client service, and mutual respect. We are committed to fostering an environment where employees are empowered to grow their careers, contribute meaningfully, and thrive professionally. The Position We are seeking a Senior Product Security Engineer to build and lead our secure software development and DevSecOps program. This is a program-building role for someone who has stood up application security from the ground up and can set its direction as the Firm continues its move to Azure. You will serve as the bridge between Information Security and Application Development, embedding security into the development lifecycle without slowing delivery. The work spans internally developed applications, CI/CD pipelines, integrations, low-code/no-code platforms, and Azure-hosted services, and includes carrying security practices from the Firm's traditional Windows infrastructure into cloud-native Azure patterns. The role reports to Information Security with a strong dotted-line partnership into Application Development and Engineering leadership. Key Responsibilities Application Security & Secure Development Lifecycle (SDL) Build, lead, and mature the SSDLC program, including its roadmap, standards, and success measures Prioritize preventive controls designed into the build process ("baked in, not sprayed on"), using testing to validate secure design rather than replace it Perform application security reviews, threat modeling, secure architecture assessments, and source code review Establish secure coding standards, policies, and "paved road" patterns for common technologies and frameworks DevSecOps & CI/CD Security Integrate and optimize SAST, DAST, SCA, API scanning, and IaC scanning within Azure DevOps pipelines Own vulnerability ingestion, triage, prioritization, remediation tracking, and reporting Build dashboards and metrics covering application security posture and remediation SLAs Script integrations to normalize findings across multiple security tools Security Tooling Administer and tune Snyk, SonarQube, Azure DevOps, PowerShell scanning tools, and additional AppSec tooling as needed Suppress false positives, write custom detection rules, and identify gaps in tooling coverage Manage security exceptions and remediation timelines with development teams Cloud & Platform Security Partner with cloud and infrastructure teams to secure Azure-hosted applications and services Support security reviews across Azure PaaS, containers, Databricks, MongoDB, Data Lake environments, Azure Data Factory, and Power Platform Help secure low-code/no-code platforms and their governance processes Developer Enablement Launch and run a Security Champions program within engineering teams Deliver developer-focused training, workshops, and secure coding guidance Mentor developers and upskill Information Security staff on application security concepts and tooling Qualifications 5+ years in Application Security, Product Security, DevSecOps, or Software Engineering Demonstrated experience building an application security or DevSecOps program from the ground up Experience leading or mentoring technical staff, formally or informally Hands-on experience securing Azure environments and Azure DevOps pipelines, and integrating security tooling into CI/CD Experience with Microsoft/Windows environments and .NET application stacks Strong grounding in secure coding principles, OWASP Top 10, secure SDLC, threat modeling, and vulnerability management Working experience with several of: Azure DevOps, Azure cloud services, Snyk, SonarQube, containers/Kubernetes, PowerShell, Python, .NET, JavaScript, React, PHP Ability to separate meaningful risk from low-value scanner findings Strong scripting and automation skills, with excellent communication and documentation Preferred Qualifications Prior experience as a software developer or DevOps engineer Hands-on administration of Snyk and SonarQube Experience bridging on-premises infrastructure to Azure, including container and cloud-native application security Familiarity with low-code/no-code platform security and with OWASP ASVS, Azure Security Benchmark, or CIS Benchmarks Experience building Security Champion programs and presenting to both engineers and leadership Certifications such as CSSLP, OSWE, GWAPT, or Azure/Kubernetes security credentials Leadership presence, with the ability to set direction and influence without direct authority. Pragmatic, collaborative, and enablement-focused rather than friction-creating, with the judgment to balance security requirements against development velocity. Strong ownership mentality, comfortable learning new technologies and operating independently. Success Metrics (First 6-12 months) Program roadmap defined and agreed with Information Security and engineering leadership Security tooling integrated consistently across pipelines, with vulnerability management workflows and dashboards operational Security Champions program launched and development teams actively engaging with security processes Secure coding standards and reusable templates established Measurable reduction in unresolved high-risk findings Wilson Elser offers a competitive salary and benefits package designed to support our attorneys both professionally and personally. A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $150,000-$180,000 USD Why Should You Apply? Benefits: Outstanding benefits package, including 401k match and generous PTO plan Career Growth: Ample opportunities for professional development and advancement Employee Perks: Access to corporate discount plans and other benefits Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at . Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law. Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here. California Residents may review our CCPA notice for applicants and employees here. Wilson Elser participates in the federal E-Verify program. With respect to all new hires, we provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization. Please review the official posters for detailed information regarding your rights and protections Download the E-Verify Participation Poster (English & Spanish) Download the Right to Work Poster (English & Spanish)
11/06/2026
Full time
Job Description Job Description At Wilson Elser, we are redefining what it means to work at a national law firm. With more than 1,400 attorneys across 46 offices nationwide, we are recognized among the top 100 law firms by The American Lawyer and ranked in the National Law Journal's survey of the nation's largest law firms. Our continued success is built on a culture of collaboration, innovation, client service, and mutual respect. We are committed to fostering an environment where employees are empowered to grow their careers, contribute meaningfully, and thrive professionally. The Position We are seeking a Senior Product Security Engineer to build and lead our secure software development and DevSecOps program. This is a program-building role for someone who has stood up application security from the ground up and can set its direction as the Firm continues its move to Azure. You will serve as the bridge between Information Security and Application Development, embedding security into the development lifecycle without slowing delivery. The work spans internally developed applications, CI/CD pipelines, integrations, low-code/no-code platforms, and Azure-hosted services, and includes carrying security practices from the Firm's traditional Windows infrastructure into cloud-native Azure patterns. The role reports to Information Security with a strong dotted-line partnership into Application Development and Engineering leadership. Key Responsibilities Application Security & Secure Development Lifecycle (SDL) Build, lead, and mature the SSDLC program, including its roadmap, standards, and success measures Prioritize preventive controls designed into the build process ("baked in, not sprayed on"), using testing to validate secure design rather than replace it Perform application security reviews, threat modeling, secure architecture assessments, and source code review Establish secure coding standards, policies, and "paved road" patterns for common technologies and frameworks DevSecOps & CI/CD Security Integrate and optimize SAST, DAST, SCA, API scanning, and IaC scanning within Azure DevOps pipelines Own vulnerability ingestion, triage, prioritization, remediation tracking, and reporting Build dashboards and metrics covering application security posture and remediation SLAs Script integrations to normalize findings across multiple security tools Security Tooling Administer and tune Snyk, SonarQube, Azure DevOps, PowerShell scanning tools, and additional AppSec tooling as needed Suppress false positives, write custom detection rules, and identify gaps in tooling coverage Manage security exceptions and remediation timelines with development teams Cloud & Platform Security Partner with cloud and infrastructure teams to secure Azure-hosted applications and services Support security reviews across Azure PaaS, containers, Databricks, MongoDB, Data Lake environments, Azure Data Factory, and Power Platform Help secure low-code/no-code platforms and their governance processes Developer Enablement Launch and run a Security Champions program within engineering teams Deliver developer-focused training, workshops, and secure coding guidance Mentor developers and upskill Information Security staff on application security concepts and tooling Qualifications 5+ years in Application Security, Product Security, DevSecOps, or Software Engineering Demonstrated experience building an application security or DevSecOps program from the ground up Experience leading or mentoring technical staff, formally or informally Hands-on experience securing Azure environments and Azure DevOps pipelines, and integrating security tooling into CI/CD Experience with Microsoft/Windows environments and .NET application stacks Strong grounding in secure coding principles, OWASP Top 10, secure SDLC, threat modeling, and vulnerability management Working experience with several of: Azure DevOps, Azure cloud services, Snyk, SonarQube, containers/Kubernetes, PowerShell, Python, .NET, JavaScript, React, PHP Ability to separate meaningful risk from low-value scanner findings Strong scripting and automation skills, with excellent communication and documentation Preferred Qualifications Prior experience as a software developer or DevOps engineer Hands-on administration of Snyk and SonarQube Experience bridging on-premises infrastructure to Azure, including container and cloud-native application security Familiarity with low-code/no-code platform security and with OWASP ASVS, Azure Security Benchmark, or CIS Benchmarks Experience building Security Champion programs and presenting to both engineers and leadership Certifications such as CSSLP, OSWE, GWAPT, or Azure/Kubernetes security credentials Leadership presence, with the ability to set direction and influence without direct authority. Pragmatic, collaborative, and enablement-focused rather than friction-creating, with the judgment to balance security requirements against development velocity. Strong ownership mentality, comfortable learning new technologies and operating independently. Success Metrics (First 6-12 months) Program roadmap defined and agreed with Information Security and engineering leadership Security tooling integrated consistently across pipelines, with vulnerability management workflows and dashboards operational Security Champions program launched and development teams actively engaging with security processes Secure coding standards and reusable templates established Measurable reduction in unresolved high-risk findings Wilson Elser offers a competitive salary and benefits package designed to support our attorneys both professionally and personally. A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $150,000-$180,000 USD Why Should You Apply? Benefits: Outstanding benefits package, including 401k match and generous PTO plan Career Growth: Ample opportunities for professional development and advancement Employee Perks: Access to corporate discount plans and other benefits Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at . Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law. Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here. California Residents may review our CCPA notice for applicants and employees here. Wilson Elser participates in the federal E-Verify program. With respect to all new hires, we provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization. Please review the official posters for detailed information regarding your rights and protections Download the E-Verify Participation Poster (English & Spanish) Download the Right to Work Poster (English & Spanish)
Job Description Job Description Role Name: .Net Developer Location: Mechanicsville, VA (Hybrid) Duration: Contract Visa: Green Card, US Citizen & GC EAD Only Note- In Person Interview Required Job Description: The .NET Developer will support the modernization of an enterprise tolling transaction platform undergoing a partial rewrite using microservices and modularization. The developer will work within an Agile/Scrum team and contribute to the development of backend services and application components using .NET Core and C#. This role collaborates with solution architects, cloud engineers, SQL developers, API developers, and testers and reports to the Development Manager. Key Responsibilities 8 years of experience developing applications using .NET Core and C#. Design, develop, and maintain .NET Core backend services and APIs. Collaborate with SQL developers to implement efficient data access patterns. Contribute to modernization of the tolling platform using microservices and modular architecture. Develop new application features and enhance existing functionalities. Participate in performance optimization efforts across application layers. Integrate with Azure-based components and cloud services. Support CI/CD processes using Azure DevOps or GitHub pipelines. Participate in Agile/Scrum ceremonies and deliver sprint commitments. Required Skills Experience building REST APIs and microservices. Experience consuming and integrating with SQL Server on Azure VM environments. Strong understanding of object-oriented programming, design patterns, and best practices. Experience with Azure DevOps or GitHub for CI/CD pipelines. Experience working in Agile/Scrum teams. Experience integrating backend systems with ETL pipelines such as SSIS or Databricks. Strong debugging and troubleshooting skills. Desired Skills Experience with Terraform or other IaC tools. Familiarity with domain-driven design and microservices. Experience with distributed systems or high-availability environments. Understanding of tolling or transportation systems (preferred but not required). Thanks & Regards 4365 Route 1 South, Suite 105 Princeton, NJ 08540 Bhavesh Sharma
11/06/2026
Full time
Job Description Job Description Role Name: .Net Developer Location: Mechanicsville, VA (Hybrid) Duration: Contract Visa: Green Card, US Citizen & GC EAD Only Note- In Person Interview Required Job Description: The .NET Developer will support the modernization of an enterprise tolling transaction platform undergoing a partial rewrite using microservices and modularization. The developer will work within an Agile/Scrum team and contribute to the development of backend services and application components using .NET Core and C#. This role collaborates with solution architects, cloud engineers, SQL developers, API developers, and testers and reports to the Development Manager. Key Responsibilities 8 years of experience developing applications using .NET Core and C#. Design, develop, and maintain .NET Core backend services and APIs. Collaborate with SQL developers to implement efficient data access patterns. Contribute to modernization of the tolling platform using microservices and modular architecture. Develop new application features and enhance existing functionalities. Participate in performance optimization efforts across application layers. Integrate with Azure-based components and cloud services. Support CI/CD processes using Azure DevOps or GitHub pipelines. Participate in Agile/Scrum ceremonies and deliver sprint commitments. Required Skills Experience building REST APIs and microservices. Experience consuming and integrating with SQL Server on Azure VM environments. Strong understanding of object-oriented programming, design patterns, and best practices. Experience with Azure DevOps or GitHub for CI/CD pipelines. Experience working in Agile/Scrum teams. Experience integrating backend systems with ETL pipelines such as SSIS or Databricks. Strong debugging and troubleshooting skills. Desired Skills Experience with Terraform or other IaC tools. Familiarity with domain-driven design and microservices. Experience with distributed systems or high-availability environments. Understanding of tolling or transportation systems (preferred but not required). Thanks & Regards 4365 Route 1 South, Suite 105 Princeton, NJ 08540 Bhavesh Sharma
Apollo Technology Solutions LLC
Mechanicsville, Virginia
Job Description Job Description Title: .NET Developer Location: Mechanicsville, VA(Hybrid) Duration: 10 Months Interview Type: Both Phone and In Person LOCAL CANDIDATES MIN EXP-14-15 YEARS Job Description The .NET Developer will support the modernization of an enterprise tolling transaction platform undergoing a partial rewrite using microservices and modularization. The developer will work within an Agile/Scrum team and contribute to the development of backend services and application components using .NET Core and C#. This role collaborates with solution architects, cloud engineers, SQL developers, API developers, and testers and reports to the Development Manager. Key Responsibilities Design, develop, and maintain .NET Core backend services and APIs. Collaborate with SQL developers to implement efficient data access patterns. Contribute to modernization of the tolling platform using microservices and modular architecture. Develop new application features and enhance existing functionalities. Participate in performance optimization efforts across application layers. Integrate with Azure-based components and cloud services. Support CI/CD processes using Azure DevOps or GitHub pipelines. Participate in Agile/Scrum ceremonies and deliver sprint commitments. Required Skills 7 years of experience developing applications using .NET Core and C#. Experience building REST APIs and microservices. Experience consuming and integrating with SQL Server on Azure VM environments. Strong understanding of object-oriented programming, design patterns, and best practices. Experience with Azure DevOps or GitHub for CI/CD pipelines. Experience working in Agile/Scrum teams. Experience integrating backend systems with ETL pipelines such as SSIS or Databricks. Strong debugging and troubleshooting skills. Desired Skills Experience with Terraform or other IaC tools. Familiarity with domain-driven design and microservices. Experience with distributed systems or high-availability environments. Understanding of tolling or transportation systems (preferred but not required).
11/06/2026
Full time
Job Description Job Description Title: .NET Developer Location: Mechanicsville, VA(Hybrid) Duration: 10 Months Interview Type: Both Phone and In Person LOCAL CANDIDATES MIN EXP-14-15 YEARS Job Description The .NET Developer will support the modernization of an enterprise tolling transaction platform undergoing a partial rewrite using microservices and modularization. The developer will work within an Agile/Scrum team and contribute to the development of backend services and application components using .NET Core and C#. This role collaborates with solution architects, cloud engineers, SQL developers, API developers, and testers and reports to the Development Manager. Key Responsibilities Design, develop, and maintain .NET Core backend services and APIs. Collaborate with SQL developers to implement efficient data access patterns. Contribute to modernization of the tolling platform using microservices and modular architecture. Develop new application features and enhance existing functionalities. Participate in performance optimization efforts across application layers. Integrate with Azure-based components and cloud services. Support CI/CD processes using Azure DevOps or GitHub pipelines. Participate in Agile/Scrum ceremonies and deliver sprint commitments. Required Skills 7 years of experience developing applications using .NET Core and C#. Experience building REST APIs and microservices. Experience consuming and integrating with SQL Server on Azure VM environments. Strong understanding of object-oriented programming, design patterns, and best practices. Experience with Azure DevOps or GitHub for CI/CD pipelines. Experience working in Agile/Scrum teams. Experience integrating backend systems with ETL pipelines such as SSIS or Databricks. Strong debugging and troubleshooting skills. Desired Skills Experience with Terraform or other IaC tools. Familiarity with domain-driven design and microservices. Experience with distributed systems or high-availability environments. Understanding of tolling or transportation systems (preferred but not required).
Job Description Job Description Pay Rate Range: $ 49.24 - 51.51/hr, Job Description: We are looking for an IDMC Tech Lead to drive the technical analysis, design, build, validation, and testing activities for an Informatica CDI-PC to IDMC conversion initiative. The role requires strong hands-on experience across Informatica PowerCenter, CDI-PC, IICS/IDMC, Oracle SQL, and Unix, with the ability to understand asset complexity, estimate effort, allocate work, guide team members, and improve conversion processes. Required Skillset Skill Area Required Capabilities Expected Depth Informatica PowerCenter Mappings, sessions, workflows, mapplets, worklets, reusable transformations, parameter files, dependencies, and runtime behavior Advanced Informatica CDI-PC CDI-PC workflow, mapping, session analysis, parameterization, conversion considerations, and behavioral comparison with IDMC Advanced IICS / IDMC Mapping tasks, taskflows, connections, runtime environments, schedules, assets corresponding to sessions/workflows/mappings, validation, and deployment readiness Advanced Oracle SQL Source/target analysis, complex joins, data validation queries, reconciliation scripts, performance checks, and defect analysis Strong Unix Commands File handling, shell navigation, logs, permissions, grep/sed/awk basics, job support, and parameter/script analysis Strong Python Helpful for automation, validation utilities, metadata extraction, comparison reports, and repeatable migration accelerators Good to have B2B / EDI Awareness Familiarity with B2B services and healthcare EDI formats such as 835 and 837, including file structure awareness and integration considerations Preferred Skill Area Required Capabilities Expected Depth DVO Familiarity with Informatica Data Validation Option for automated data reconciliation and validation Preferred Key Responsibilities 1. CDI-PC / PowerCenter Asset Analysis Analyze Informatica CDI-PC / PowerCenter workflows, mappings, sessions, mapplets, worklets, parameter files, reusable components, and dependency structures. Assess current-state conversion readiness, identify complexity drivers, and document technical assumptions, gaps, and risks. Review runtime behaviors, parameterization patterns, file handling logic, source/target connectivity, and transformation-level dependencies. Analyze B2B service dependencies and EDI-related integration patterns, including awareness of 835/837 file format handling where applicable. 2. IDMC / IICS Design and Build Design and create IDMC / IICS assets corresponding to legacy sessions, mappings, workflows, and runtime configurations. Create and validate mapping tasks, taskflows, connections, schedules, parameters, and other IDMC assets required for end-to-end migration. Ensure IDMC implementation aligns with functional intent, source-to-target rules, transformation behavior, scheduling needs, and operational controls. Drive configuration consistency, naming standards, reusable patterns, and environment migration practices across the conversion workstream. 3. Complex Transformation Handling Provide deep technical analysis for complex Informatica transformations, including Java transformations, XML transformations, expression/router/lookup/aggregator patterns, and reusable transformation logic. Understand and explain how transformations behave in IDMC compared with CDI-PC / PowerCenter, including capability differences, conversion constraints, and required redesign patterns. Identify transformation-specific risks, build IDMC-compatible alternatives, and guide developers on remediation approaches. 4. Validation, Testing, and DVO Usage Own technical validation for converted assets, including unit testing, system integration testing support, data reconciliation, defect triage, and production-readiness checks. Create or review Oracle SQL-based validation queries and compare source/target results to confirm conversion accuracy. Leverage familiarity with Informatica Data Validation Option (DVO) to support repeatable reconciliation and automated validation where applicable. Review logs, runtime statistics, and failure patterns to troubleshoot issues across CDI-PC, IDMC, database, Unix, and file-handling layers. 5. Estimation, Planning, and Delivery Leadership Estimate conversion and testing effort based on asset complexity, including number of transformations, workflow dependencies, parameterization, source/target count, B2B/EDI interactions, custom logic, and testing scope. Break down technical work into actionable tasks and allocate work to team members based on skill, complexity, and delivery priorities. Track progress, identify blockers early, coordinate with functional teams, and support delivery governance through status inputs and risk communication. Suggest process improvements, reusable accelerators, automation opportunities, templates, and checklists to improve speed, quality, and consistency. 6. Knowledge Management and Team Enablement Prepare and maintain knowledge documentation, technical design notes, conversion playbooks, validation evidence, defect learnings, and implementation standards. Conduct walkthroughs with developers, QA, business analysts, and stakeholders to explain conversion approach, technical decisions, assumptions, and validation outcomes. Mentor team members on CDI-PC to IDMC conversion patterns, transformation differences, IDMC taskflow design, troubleshooting, and documentation practices. Technical Expectations by Workstream Workstream Tech Lead Ownership Key Outputs Discovery and Analysis Lead asset inventory review, complexity assessment, dependency mapping, parameter file review, and gap identification. Analysis notes, complexity ratings, effort estimates, migration assumptions, risk log IDMC Build Guide and review creation of mappings, mapping tasks, taskflows, connections, parameters, and other migrated assets. IDMC assets, build checklist, peer review findings, configuration standards Transformation Remediation Evaluate Java, XML, and complex transformation behavior and define IDMC-compatible design patterns. Remediation design, conversion rules, transformation decision log Validation and Testing Define validation approach, review SQL/DVO reconciliation, support test execution, and drive defect closure. Test evidence, reconciliation reports, defect RCA, sign-off inputs Delivery Governance Estimate, plan, allocate tasks, monitor progress, escalate risks, and improve repeatable delivery process. Task plan, allocation tracker, status inputs, lessons learned, process improvements Knowledge Documentation Document conversion patterns, standards, limitations, and operational knowledge for future support. KT documents, playbooks, runbooks, best-practice guides Minimum Qualifications 8 years of experience in Informatica delivery, with strong hands-on experience in PowerCenter and/or CDI-PC. Practical experience with IICS / IDMC asset creation, validation, and troubleshooting. Strong Oracle SQL skills for data analysis, reconciliation, and defect investigation. Working knowledge of Unix commands for file processing, log review, and operational support. Experience leading technical teams, assigning work, reviewing deliverables, and guiding remediation of complex issues. Ability to understand existing ETL logic, compare behavior across platforms, and translate legacy designs into IDMC assets. Preferred Qualifications Experience in Informatica CDI-PC to IDMC / IICS conversion or modernization programs. Familiarity with B2B services and EDI files, especially healthcare-related 835/837 formats. Experience with Informatica Data Validation Option (DVO) or similar automated data validation tools. Python scripting experience for automation, metadata parsing, comparison reporting, or validation utilities. 5 years of Experience in Design Develop and maintain data integration workflows using Informatica IDMC (Cloud Data Integration (Azure) Cloud Application Integration etc.). 2. Build and optimize ETL/ELT pipelines that ingest transform and load data into Databricks Lakehouse. 3. Proficiency in Linux/Python scripting 4. Collaborate with data architects analysts and business stakeholders to understand data requirements and deliver robust solutions. 5. Implement best practices for data governance metadata management and data quality using Informatica tools. 6. Configure and manage connections between Informatica IDMC and Databricks including secure authentication and data movement strategies. 7. Monitor and troubleshoot data pipelines for performance reliability and scalability. 8. Automate data workflows and orchestrate jobs using Informaticas scheduling and event-driven capabilities. 9. Document technical specifications data flow diagrams and operational procedures. 10. Experience with Peta byte scale data ingestion data migration. 11. Ability to adopt various type of data formats and data sizes. Essential Skills: Informatica IDMC (IICS) Developer Keyword: Azure data factory Databricks Azure Synapse Analytics Python Sql Pyspark Databricks Skills: Informatica Powercentre Experience Required: 10 & Above Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNInformatica PowercentreYes1>7 years
11/06/2026
Full time
Job Description Job Description Pay Rate Range: $ 49.24 - 51.51/hr, Job Description: We are looking for an IDMC Tech Lead to drive the technical analysis, design, build, validation, and testing activities for an Informatica CDI-PC to IDMC conversion initiative. The role requires strong hands-on experience across Informatica PowerCenter, CDI-PC, IICS/IDMC, Oracle SQL, and Unix, with the ability to understand asset complexity, estimate effort, allocate work, guide team members, and improve conversion processes. Required Skillset Skill Area Required Capabilities Expected Depth Informatica PowerCenter Mappings, sessions, workflows, mapplets, worklets, reusable transformations, parameter files, dependencies, and runtime behavior Advanced Informatica CDI-PC CDI-PC workflow, mapping, session analysis, parameterization, conversion considerations, and behavioral comparison with IDMC Advanced IICS / IDMC Mapping tasks, taskflows, connections, runtime environments, schedules, assets corresponding to sessions/workflows/mappings, validation, and deployment readiness Advanced Oracle SQL Source/target analysis, complex joins, data validation queries, reconciliation scripts, performance checks, and defect analysis Strong Unix Commands File handling, shell navigation, logs, permissions, grep/sed/awk basics, job support, and parameter/script analysis Strong Python Helpful for automation, validation utilities, metadata extraction, comparison reports, and repeatable migration accelerators Good to have B2B / EDI Awareness Familiarity with B2B services and healthcare EDI formats such as 835 and 837, including file structure awareness and integration considerations Preferred Skill Area Required Capabilities Expected Depth DVO Familiarity with Informatica Data Validation Option for automated data reconciliation and validation Preferred Key Responsibilities 1. CDI-PC / PowerCenter Asset Analysis Analyze Informatica CDI-PC / PowerCenter workflows, mappings, sessions, mapplets, worklets, parameter files, reusable components, and dependency structures. Assess current-state conversion readiness, identify complexity drivers, and document technical assumptions, gaps, and risks. Review runtime behaviors, parameterization patterns, file handling logic, source/target connectivity, and transformation-level dependencies. Analyze B2B service dependencies and EDI-related integration patterns, including awareness of 835/837 file format handling where applicable. 2. IDMC / IICS Design and Build Design and create IDMC / IICS assets corresponding to legacy sessions, mappings, workflows, and runtime configurations. Create and validate mapping tasks, taskflows, connections, schedules, parameters, and other IDMC assets required for end-to-end migration. Ensure IDMC implementation aligns with functional intent, source-to-target rules, transformation behavior, scheduling needs, and operational controls. Drive configuration consistency, naming standards, reusable patterns, and environment migration practices across the conversion workstream. 3. Complex Transformation Handling Provide deep technical analysis for complex Informatica transformations, including Java transformations, XML transformations, expression/router/lookup/aggregator patterns, and reusable transformation logic. Understand and explain how transformations behave in IDMC compared with CDI-PC / PowerCenter, including capability differences, conversion constraints, and required redesign patterns. Identify transformation-specific risks, build IDMC-compatible alternatives, and guide developers on remediation approaches. 4. Validation, Testing, and DVO Usage Own technical validation for converted assets, including unit testing, system integration testing support, data reconciliation, defect triage, and production-readiness checks. Create or review Oracle SQL-based validation queries and compare source/target results to confirm conversion accuracy. Leverage familiarity with Informatica Data Validation Option (DVO) to support repeatable reconciliation and automated validation where applicable. Review logs, runtime statistics, and failure patterns to troubleshoot issues across CDI-PC, IDMC, database, Unix, and file-handling layers. 5. Estimation, Planning, and Delivery Leadership Estimate conversion and testing effort based on asset complexity, including number of transformations, workflow dependencies, parameterization, source/target count, B2B/EDI interactions, custom logic, and testing scope. Break down technical work into actionable tasks and allocate work to team members based on skill, complexity, and delivery priorities. Track progress, identify blockers early, coordinate with functional teams, and support delivery governance through status inputs and risk communication. Suggest process improvements, reusable accelerators, automation opportunities, templates, and checklists to improve speed, quality, and consistency. 6. Knowledge Management and Team Enablement Prepare and maintain knowledge documentation, technical design notes, conversion playbooks, validation evidence, defect learnings, and implementation standards. Conduct walkthroughs with developers, QA, business analysts, and stakeholders to explain conversion approach, technical decisions, assumptions, and validation outcomes. Mentor team members on CDI-PC to IDMC conversion patterns, transformation differences, IDMC taskflow design, troubleshooting, and documentation practices. Technical Expectations by Workstream Workstream Tech Lead Ownership Key Outputs Discovery and Analysis Lead asset inventory review, complexity assessment, dependency mapping, parameter file review, and gap identification. Analysis notes, complexity ratings, effort estimates, migration assumptions, risk log IDMC Build Guide and review creation of mappings, mapping tasks, taskflows, connections, parameters, and other migrated assets. IDMC assets, build checklist, peer review findings, configuration standards Transformation Remediation Evaluate Java, XML, and complex transformation behavior and define IDMC-compatible design patterns. Remediation design, conversion rules, transformation decision log Validation and Testing Define validation approach, review SQL/DVO reconciliation, support test execution, and drive defect closure. Test evidence, reconciliation reports, defect RCA, sign-off inputs Delivery Governance Estimate, plan, allocate tasks, monitor progress, escalate risks, and improve repeatable delivery process. Task plan, allocation tracker, status inputs, lessons learned, process improvements Knowledge Documentation Document conversion patterns, standards, limitations, and operational knowledge for future support. KT documents, playbooks, runbooks, best-practice guides Minimum Qualifications 8 years of experience in Informatica delivery, with strong hands-on experience in PowerCenter and/or CDI-PC. Practical experience with IICS / IDMC asset creation, validation, and troubleshooting. Strong Oracle SQL skills for data analysis, reconciliation, and defect investigation. Working knowledge of Unix commands for file processing, log review, and operational support. Experience leading technical teams, assigning work, reviewing deliverables, and guiding remediation of complex issues. Ability to understand existing ETL logic, compare behavior across platforms, and translate legacy designs into IDMC assets. Preferred Qualifications Experience in Informatica CDI-PC to IDMC / IICS conversion or modernization programs. Familiarity with B2B services and EDI files, especially healthcare-related 835/837 formats. Experience with Informatica Data Validation Option (DVO) or similar automated data validation tools. Python scripting experience for automation, metadata parsing, comparison reporting, or validation utilities. 5 years of Experience in Design Develop and maintain data integration workflows using Informatica IDMC (Cloud Data Integration (Azure) Cloud Application Integration etc.). 2. Build and optimize ETL/ELT pipelines that ingest transform and load data into Databricks Lakehouse. 3. Proficiency in Linux/Python scripting 4. Collaborate with data architects analysts and business stakeholders to understand data requirements and deliver robust solutions. 5. Implement best practices for data governance metadata management and data quality using Informatica tools. 6. Configure and manage connections between Informatica IDMC and Databricks including secure authentication and data movement strategies. 7. Monitor and troubleshoot data pipelines for performance reliability and scalability. 8. Automate data workflows and orchestrate jobs using Informaticas scheduling and event-driven capabilities. 9. Document technical specifications data flow diagrams and operational procedures. 10. Experience with Peta byte scale data ingestion data migration. 11. Ability to adopt various type of data formats and data sizes. Essential Skills: Informatica IDMC (IICS) Developer Keyword: Azure data factory Databricks Azure Synapse Analytics Python Sql Pyspark Databricks Skills: Informatica Powercentre Experience Required: 10 & Above Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNInformatica PowercentreYes1>7 years
Job Description Job Description Must Have Skills Hands-on experience migrating Informatica workflows to IDMC. Strong understanding of ETL, SQL, and Unix. Ability to lead a team working on the migration of Informatica PowerCenter workflows to IDMC. Ability to identify migration issues and compatibility challenges and provide appropriate solutions. Role Summary We are seeking an experienced Informatica PowerCenter (PC) and Informatica Intelligent Data Management Cloud (IDMC/IICS) Developer to support the migration of enterprise data integration solutions from Informatica PowerCenter to IDMC. The ideal candidate will have strong ETL development experience, hands-on expertise in both PowerCenter and IDMC services, and experience assessing, migrating, and optimizing ETL workloads in cloud environments. Key Responsibilities Analyze existing Informatica PowerCenter mappings, workflows, sessions, and reusable objects for migration to IDMC. Design, develop, test, and deploy ETL/ELT solutions using Informatica Cloud Data Integration (CDI) and other IDMC services. Perform end-to-end migration activities from PowerCenter to IDMC, including mapping and workflow assessment, conversion and redevelopment of ETL logic, parameter and configuration migration, validation and reconciliation, and performance optimization. Review and compare DEV, QA, and PROD environments to identify configuration, parameter, and code differences. Validate production configurations and dependencies to ensure accurate migration. Migrate and optimize complex transformations, workflows, task flows, and reusable components. Work with source and target systems including Oracle, SQL Server, and flat-file integrations. Troubleshoot migration issues and resolve data quality, performance, and connectivity challenges. Create migration documentation, technical specifications, and deployment procedures. Collaborate with architects, business analysts, and support teams throughout the migration lifecycle. Perform unit testing, system integration testing, and production validation. Role Description1. CDI-PC / PowerCenter Asset Analysis Analyze Informatica CDI-PC / PowerCenter workflows, mappings, sessions, mapplets, worklets, parameter files, reusable components, and dependency structures. Assess current-state conversion readiness, identify complexity drivers, and document technical assumptions, gaps, and risks. Review runtime behaviors, parameterization patterns, file handling logic, source/target connectivity, and transformation-level dependencies. Analyze B2B service dependencies and EDI-related integration patterns, including awareness of 835/837 file format handling where applicable. 2. IDMC / IICS Design and Build Design and create IDMC / IICS assets corresponding to legacy sessions, mappings, workflows, and runtime configurations. Create and validate mapping tasks, taskflows, connections, schedules, parameters, and other IDMC assets required for end-to-end migration. Ensure IDMC implementation aligns with functional intent, source-to-target rules, transformation behavior, scheduling needs, and operational controls. Drive configuration consistency, naming standards, reusable patterns, and environment migration practices across the conversion workstream. 3. Complex Transformation Handling Provide technical analysis for complex Informatica transformations, including Java transformations, XML transformations, expression/router/lookup/aggregator patterns, and reusable transformation logic. Understand transformation behavior in IDMC compared with CDI-PC / PowerCenter, including capability differences, conversion constraints, and required redesign patterns. Identify transformation-specific risks, build IDMC-compatible alternatives, and guide developers on remediation approaches. 4. Validation, Testing, and DVO Usage Own technical validation for converted assets, including unit testing, system integration testing support, data reconciliation, defect triage, and production-readiness checks. Create or review Oracle SQL-based validation queries and compare source/target results to confirm conversion accuracy. Leverage familiarity with Informatica Data Validation Option (DVO) to support repeatable reconciliation and automated validation where applicable. Review logs, runtime statistics, and failure patterns to troubleshoot issues across CDI-PC, IDMC, database, Unix, and file-handling layers. 5. Estimation, Planning, and Delivery Leadership Estimate conversion and testing effort based on asset complexity, including number of transformations, workflow dependencies, parameterization, source/target count, B2B/EDI interactions, custom logic, and testing scope. Break down technical work into actionable tasks and allocate work to team members based on skill, complexity, and delivery priorities. Track progress, identify blockers early, coordinate with functional teams, and support delivery governance through status inputs and risk communication. Suggest process improvements and reusable accelerators. Essential Skills We are looking for an IDMC Tech Lead to drive the technical analysis, design, build, validation, and testing activities for an Informatica CDI-PC to IDMC conversion initiative. The role requires strong hands-on experience across Informatica PowerCenter, CDI-PC, IICS/IDMC, Oracle SQL, and Unix , with the ability to understand asset complexity, estimate effort, allocate work, guide team members, and improve conversion processes. Desirable Skills Azure Data Factory Databricks Azure Synapse Analytics Python SQL PySpark Keyword: Azure Data Factory Databricks Azure Synapse Analytics Python SQL PySpark Databricks Skills: Informatica PowerCenter Experience Required: 10 years
11/06/2026
Full time
Job Description Job Description Must Have Skills Hands-on experience migrating Informatica workflows to IDMC. Strong understanding of ETL, SQL, and Unix. Ability to lead a team working on the migration of Informatica PowerCenter workflows to IDMC. Ability to identify migration issues and compatibility challenges and provide appropriate solutions. Role Summary We are seeking an experienced Informatica PowerCenter (PC) and Informatica Intelligent Data Management Cloud (IDMC/IICS) Developer to support the migration of enterprise data integration solutions from Informatica PowerCenter to IDMC. The ideal candidate will have strong ETL development experience, hands-on expertise in both PowerCenter and IDMC services, and experience assessing, migrating, and optimizing ETL workloads in cloud environments. Key Responsibilities Analyze existing Informatica PowerCenter mappings, workflows, sessions, and reusable objects for migration to IDMC. Design, develop, test, and deploy ETL/ELT solutions using Informatica Cloud Data Integration (CDI) and other IDMC services. Perform end-to-end migration activities from PowerCenter to IDMC, including mapping and workflow assessment, conversion and redevelopment of ETL logic, parameter and configuration migration, validation and reconciliation, and performance optimization. Review and compare DEV, QA, and PROD environments to identify configuration, parameter, and code differences. Validate production configurations and dependencies to ensure accurate migration. Migrate and optimize complex transformations, workflows, task flows, and reusable components. Work with source and target systems including Oracle, SQL Server, and flat-file integrations. Troubleshoot migration issues and resolve data quality, performance, and connectivity challenges. Create migration documentation, technical specifications, and deployment procedures. Collaborate with architects, business analysts, and support teams throughout the migration lifecycle. Perform unit testing, system integration testing, and production validation. Role Description1. CDI-PC / PowerCenter Asset Analysis Analyze Informatica CDI-PC / PowerCenter workflows, mappings, sessions, mapplets, worklets, parameter files, reusable components, and dependency structures. Assess current-state conversion readiness, identify complexity drivers, and document technical assumptions, gaps, and risks. Review runtime behaviors, parameterization patterns, file handling logic, source/target connectivity, and transformation-level dependencies. Analyze B2B service dependencies and EDI-related integration patterns, including awareness of 835/837 file format handling where applicable. 2. IDMC / IICS Design and Build Design and create IDMC / IICS assets corresponding to legacy sessions, mappings, workflows, and runtime configurations. Create and validate mapping tasks, taskflows, connections, schedules, parameters, and other IDMC assets required for end-to-end migration. Ensure IDMC implementation aligns with functional intent, source-to-target rules, transformation behavior, scheduling needs, and operational controls. Drive configuration consistency, naming standards, reusable patterns, and environment migration practices across the conversion workstream. 3. Complex Transformation Handling Provide technical analysis for complex Informatica transformations, including Java transformations, XML transformations, expression/router/lookup/aggregator patterns, and reusable transformation logic. Understand transformation behavior in IDMC compared with CDI-PC / PowerCenter, including capability differences, conversion constraints, and required redesign patterns. Identify transformation-specific risks, build IDMC-compatible alternatives, and guide developers on remediation approaches. 4. Validation, Testing, and DVO Usage Own technical validation for converted assets, including unit testing, system integration testing support, data reconciliation, defect triage, and production-readiness checks. Create or review Oracle SQL-based validation queries and compare source/target results to confirm conversion accuracy. Leverage familiarity with Informatica Data Validation Option (DVO) to support repeatable reconciliation and automated validation where applicable. Review logs, runtime statistics, and failure patterns to troubleshoot issues across CDI-PC, IDMC, database, Unix, and file-handling layers. 5. Estimation, Planning, and Delivery Leadership Estimate conversion and testing effort based on asset complexity, including number of transformations, workflow dependencies, parameterization, source/target count, B2B/EDI interactions, custom logic, and testing scope. Break down technical work into actionable tasks and allocate work to team members based on skill, complexity, and delivery priorities. Track progress, identify blockers early, coordinate with functional teams, and support delivery governance through status inputs and risk communication. Suggest process improvements and reusable accelerators. Essential Skills We are looking for an IDMC Tech Lead to drive the technical analysis, design, build, validation, and testing activities for an Informatica CDI-PC to IDMC conversion initiative. The role requires strong hands-on experience across Informatica PowerCenter, CDI-PC, IICS/IDMC, Oracle SQL, and Unix , with the ability to understand asset complexity, estimate effort, allocate work, guide team members, and improve conversion processes. Desirable Skills Azure Data Factory Databricks Azure Synapse Analytics Python SQL PySpark Keyword: Azure Data Factory Databricks Azure Synapse Analytics Python SQL PySpark Databricks Skills: Informatica PowerCenter Experience Required: 10 years
Job Description Job Description Informatica MDM Developer - ETL / SQL Remote - Continental U.S. Contract Opportunity (not open to third parties) Central U.S. / Illinois / Midwest candidates preferred Occasional travel may be required Position Overview We are seeking an experienced Informatica MDM Developer to support a large-scale Master Data Management environment. This is a hands-on development role focused on Informatica MDM, ETL/data integration, SQL, data quality, and Python automation. The developer will build and support MDM solutions, Informatica workflows and data loads, troubleshoot production issues, support testing and defect resolution, and help maintain reliable MDM operations. Key Responsibilities Develop and support solutions using Informatica MDM. Integrate data from multiple source systems to support a unified client/member view. Develop Informatica mappings, mapplets, sessions, workflows, and transformations. Work with transformations including Aggregator, Expression, Filter, Router, Sequence Generator, Update Strategy, Joiner, Rank, Source Qualifier, Lookup, and Sorter. Schedule and monitor Informatica/ETL jobs across development, system testing, and production environments. Automate data staging and processing through scripting. Develop, maintain, and analyze complex SQL queries and scripts. Work with large enterprise relational databases and Teradata. Support data quality, matching, standardization, reconciliation, and data governance processes. Troubleshoot production and post-release issues and develop solutions. Work directly with QA teams on defect resolution, validation, and testing. Participate in unit, integration, and system testing. Participate in technical discussions and recommend solutions or requirements. Use Python for scripting, automation, testing, or data processing support. Required Qualifications 5+ years of experience in MDM, ETL/ELT, data engineering, or data integration development. 3+ years of hands-on Informatica MDM implementation experience. Hands-on experience developing Informatica mappings, mapplets, sessions, workflows, and transformations. Experience scheduling, monitoring, and troubleshooting Informatica jobs. Strong SQL experience working with large MDM and enterprise relational database platforms. Experience with data quality, matching, unique client/member identifiers, standardization, reconciliation, and data governance. Experience supporting ETL/MDM operations, performance tuning, issue resolution, and SDLC delivery. Python experience supporting scripting, automation, testing, or data processing. Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience. Preferred Qualifications Experience with other MDM platforms, including cloud-native MDM solutions. State government, public-sector, or regulated-industry experience. Healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data experience. Agile/Scrum experience. Exposure to X12, EDI, XML, JSON, APIs, or HL7/FHIR. Exposure to Azure, ADF, Databricks, Snowflake, Data Lake, or similar cloud data platforms. Experience with MDM, EDW, ETL, or on-premises-to-cloud modernization initiatives. Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering. Ability to work independently in a remote, matrixed environment. Work Arrangement 100% remote within the continental U.S. Central U.S., Illinois, or Midwest location preferred. Occasional travel may be required.
11/06/2026
Full time
Job Description Job Description Informatica MDM Developer - ETL / SQL Remote - Continental U.S. Contract Opportunity (not open to third parties) Central U.S. / Illinois / Midwest candidates preferred Occasional travel may be required Position Overview We are seeking an experienced Informatica MDM Developer to support a large-scale Master Data Management environment. This is a hands-on development role focused on Informatica MDM, ETL/data integration, SQL, data quality, and Python automation. The developer will build and support MDM solutions, Informatica workflows and data loads, troubleshoot production issues, support testing and defect resolution, and help maintain reliable MDM operations. Key Responsibilities Develop and support solutions using Informatica MDM. Integrate data from multiple source systems to support a unified client/member view. Develop Informatica mappings, mapplets, sessions, workflows, and transformations. Work with transformations including Aggregator, Expression, Filter, Router, Sequence Generator, Update Strategy, Joiner, Rank, Source Qualifier, Lookup, and Sorter. Schedule and monitor Informatica/ETL jobs across development, system testing, and production environments. Automate data staging and processing through scripting. Develop, maintain, and analyze complex SQL queries and scripts. Work with large enterprise relational databases and Teradata. Support data quality, matching, standardization, reconciliation, and data governance processes. Troubleshoot production and post-release issues and develop solutions. Work directly with QA teams on defect resolution, validation, and testing. Participate in unit, integration, and system testing. Participate in technical discussions and recommend solutions or requirements. Use Python for scripting, automation, testing, or data processing support. Required Qualifications 5+ years of experience in MDM, ETL/ELT, data engineering, or data integration development. 3+ years of hands-on Informatica MDM implementation experience. Hands-on experience developing Informatica mappings, mapplets, sessions, workflows, and transformations. Experience scheduling, monitoring, and troubleshooting Informatica jobs. Strong SQL experience working with large MDM and enterprise relational database platforms. Experience with data quality, matching, unique client/member identifiers, standardization, reconciliation, and data governance. Experience supporting ETL/MDM operations, performance tuning, issue resolution, and SDLC delivery. Python experience supporting scripting, automation, testing, or data processing. Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience. Preferred Qualifications Experience with other MDM platforms, including cloud-native MDM solutions. State government, public-sector, or regulated-industry experience. Healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data experience. Agile/Scrum experience. Exposure to X12, EDI, XML, JSON, APIs, or HL7/FHIR. Exposure to Azure, ADF, Databricks, Snowflake, Data Lake, or similar cloud data platforms. Experience with MDM, EDW, ETL, or on-premises-to-cloud modernization initiatives. Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering. Ability to work independently in a remote, matrixed environment. Work Arrangement 100% remote within the continental U.S. Central U.S., Illinois, or Midwest location preferred. Occasional travel may be required.
Job Description Job Description Senior Data & Analytics ArchitectEnterprise Data Warehouse Modernization Remote 12+ Month Contract Candidates must be authorized to work in the United States without sponsorship. Not open to third-party firms, consulting companies We are seeking a Senior Data & Analytics Architect to lead a large-scale Enterprise Data Warehouse (EDW), reporting, and analytics modernization initiative. This is a hands-on architecture leadership role responsible for defining technical strategy, solution architecture, modernization roadmaps, and engineering execution across enterprise data, reporting, and analytics platforms. Key Responsibilities Lead end-to-end architecture for enterprise data warehouse, reporting, analytics, and data integration solutions. Drive modernization of legacy ETL processes, SQL code, Unix/Linux scripts, and manual workflows into scalable Python-based solutions and automation frameworks. Translate complex business, operational, and regulatory requirements into scalable and maintainable technical designs. Design architecture across databases, APIs, application services, orchestration, scheduling, security, monitoring, and cloud platforms. Build proof-of-concepts and evaluate technology options to support architectural decision-making. Lead enterprise reporting and analytics initiatives, including data quality, reconciliation, drill-down reporting, and reporting modernization. Establish engineering best practices utilizing Azure DevOps, CI/CD pipelines, source control, code review processes, and deployment automation. Partner with infrastructure, cloud, security, analytics, and engineering teams to deliver enterprise-scale solutions. Develop architecture diagrams, technical specifications, implementation plans, operational models, and modernization roadmaps. Mentor architects, engineers, ETL developers, BI developers, analysts, and testers. Present technical recommendations, risks, and strategic solutions to executive leadership and key stakeholders. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent professional experience. 10+ years of experience in Data Architecture, Analytics Architecture, Solution Architecture, or Enterprise Architecture roles. Proven success architecting and delivering enterprise data warehouse, analytics, reporting, and transaction-processing solutions. Strong hands-on Python development experience. Advanced SQL development, optimization, and troubleshooting expertise. Experience designing data-intensive applications, APIs, databases, security frameworks, job scheduling, and monitoring solutions. Experience with enterprise BI and reporting tools such as Power BI, Tableau, BusinessObjects, SAS, or similar platforms. Experience implementing Azure DevOps, Git-based source control, branching strategies, CI/CD pipelines, and automated deployment processes. Experience leading cross-functional engineering and analytics teams. Excellent communication and stakeholder management skills. Preferred Qualifications Healthcare payer, Medicaid, managed care, or health insurance experience. Experience supporting CMS, Medicaid, regulatory, or federal reporting initiatives. Experience with cloud migration and modernization programs. Hands-on experience with Azure, Azure Data Factory, Databricks, Azure Data Lake Storage, Snowflake, or similar cloud data platforms. Experience with Informatica, Teradata, or enterprise ETL and data integration technologies. Strong data modeling experience, including conceptual, logical, physical, dimensional, and transactional models. Experience leveraging AI-assisted engineering, automation, testing, or code conversion within enterprise environments. Knowledge of HIPAA, PHI, PII, and regulated data environments. Preferred Technical Stack Python SQL Azure Azure Data Factory (ADF) Databricks Snowflake Teradata Informatica Power BI Tableau BusinessObjects Azure DevOps CI/CD Data Warehousing Analytics Data Integration Enterprise Architecture Additional Requirements 12+ month contract opportunity. 100% remote position. Candidates must reside within the Continental United States. Candidates must be authorized to work in the United States without sponsorship. Not open to third-party firms, consulting companies, C2C arrangements, or vendor submissions. Direct applicants only. Why Join Us Lead enterprise-scale data and analytics modernization initiatives. Influence architecture strategy and technology direction. Work with modern cloud and data platforms. Drive transformation from legacy technologies to scalable, automated solutions. Collaborate with senior leadership and high-performing technical teams.
11/06/2026
Full time
Job Description Job Description Senior Data & Analytics ArchitectEnterprise Data Warehouse Modernization Remote 12+ Month Contract Candidates must be authorized to work in the United States without sponsorship. Not open to third-party firms, consulting companies We are seeking a Senior Data & Analytics Architect to lead a large-scale Enterprise Data Warehouse (EDW), reporting, and analytics modernization initiative. This is a hands-on architecture leadership role responsible for defining technical strategy, solution architecture, modernization roadmaps, and engineering execution across enterprise data, reporting, and analytics platforms. Key Responsibilities Lead end-to-end architecture for enterprise data warehouse, reporting, analytics, and data integration solutions. Drive modernization of legacy ETL processes, SQL code, Unix/Linux scripts, and manual workflows into scalable Python-based solutions and automation frameworks. Translate complex business, operational, and regulatory requirements into scalable and maintainable technical designs. Design architecture across databases, APIs, application services, orchestration, scheduling, security, monitoring, and cloud platforms. Build proof-of-concepts and evaluate technology options to support architectural decision-making. Lead enterprise reporting and analytics initiatives, including data quality, reconciliation, drill-down reporting, and reporting modernization. Establish engineering best practices utilizing Azure DevOps, CI/CD pipelines, source control, code review processes, and deployment automation. Partner with infrastructure, cloud, security, analytics, and engineering teams to deliver enterprise-scale solutions. Develop architecture diagrams, technical specifications, implementation plans, operational models, and modernization roadmaps. Mentor architects, engineers, ETL developers, BI developers, analysts, and testers. Present technical recommendations, risks, and strategic solutions to executive leadership and key stakeholders. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent professional experience. 10+ years of experience in Data Architecture, Analytics Architecture, Solution Architecture, or Enterprise Architecture roles. Proven success architecting and delivering enterprise data warehouse, analytics, reporting, and transaction-processing solutions. Strong hands-on Python development experience. Advanced SQL development, optimization, and troubleshooting expertise. Experience designing data-intensive applications, APIs, databases, security frameworks, job scheduling, and monitoring solutions. Experience with enterprise BI and reporting tools such as Power BI, Tableau, BusinessObjects, SAS, or similar platforms. Experience implementing Azure DevOps, Git-based source control, branching strategies, CI/CD pipelines, and automated deployment processes. Experience leading cross-functional engineering and analytics teams. Excellent communication and stakeholder management skills. Preferred Qualifications Healthcare payer, Medicaid, managed care, or health insurance experience. Experience supporting CMS, Medicaid, regulatory, or federal reporting initiatives. Experience with cloud migration and modernization programs. Hands-on experience with Azure, Azure Data Factory, Databricks, Azure Data Lake Storage, Snowflake, or similar cloud data platforms. Experience with Informatica, Teradata, or enterprise ETL and data integration technologies. Strong data modeling experience, including conceptual, logical, physical, dimensional, and transactional models. Experience leveraging AI-assisted engineering, automation, testing, or code conversion within enterprise environments. Knowledge of HIPAA, PHI, PII, and regulated data environments. Preferred Technical Stack Python SQL Azure Azure Data Factory (ADF) Databricks Snowflake Teradata Informatica Power BI Tableau BusinessObjects Azure DevOps CI/CD Data Warehousing Analytics Data Integration Enterprise Architecture Additional Requirements 12+ month contract opportunity. 100% remote position. Candidates must reside within the Continental United States. Candidates must be authorized to work in the United States without sponsorship. Not open to third-party firms, consulting companies, C2C arrangements, or vendor submissions. Direct applicants only. Why Join Us Lead enterprise-scale data and analytics modernization initiatives. Influence architecture strategy and technology direction. Work with modern cloud and data platforms. Drive transformation from legacy technologies to scalable, automated solutions. Collaborate with senior leadership and high-performing technical teams.
Job Description Data Automation Engineer Location: Hybrid (Washington D.C) 2-3 times a week Clearance: Active Secret Employment Type: Full Time Company Description Big Impact Tech (BIT) is a Small Business providing IT and business management consulting services to federal and commercial clients. We deliver mission-focused solutions in digital transformation, cloud technologies, cybersecurity, enterprise platforms, and program management. Position Overview We are seeking a skilled Data Automation Engineer to support Coast Guard data modernization and automation initiatives. The ideal candidate will design, develop, and maintain automated data pipelines, workflows, and integration solutions that improve operational efficiency, data quality, and reporting capabilities. This role requires expertise in data engineering, process automation, ETL/ELT development, and cloud-based data solutions. Key Responsibilities Design, develop, and maintain automated data pipelines and workflows to support business and operational reporting requirements. Build and optimize ETL/ELT processes for ingesting, transforming, and loading data from multiple source systems. Develop data integration solutions using APIs, databases, cloud services, and enterprise applications. Automate manual data collection, validation, reconciliation, and reporting processes. Monitor and troubleshoot data pipelines to ensure reliability, performance, and data integrity. Implement data quality checks, exception handling, and monitoring frameworks. Collaborate with business stakeholders, analysts, developers, and data engineers to gather requirements and deliver automated solutions. Support cloud-based data platforms and data warehouse environments. Develop scripts and automation tools to streamline operational processes. Create and maintain technical documentation, process flows, and standard operating procedures. Ensure compliance with organizational security, governance, and data management standards. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. 3+ years of experience in data engineering, automation, or data integration roles. Strong experience with Python, SQL, and automation scripting. Experience developing ETL/ELT pipelines and workflow orchestration. Experience with relational and non-relational databases. Strong understanding of data modeling, data transformation, and data quality practices. Experience working with APIs, file-based integrations, and enterprise data systems. Preferred Qualifications Experience supporting Coast Guard or other government-related programs. Experience with cloud platforms such as Azure, AWS, or Google Cloud. Experience with Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Apache Airflow, or similar tools. Knowledge of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). Experience with Power BI, Qlik, Tableau, or other reporting tools. Familiarity with Agile/Scrum methodologies. Technical Skills Python SQL ETL/ELT Development Data Pipeline Automation API Integration Azure Data Factory / Microsoft Fabric Databricks Snowflake Apache Airflow Git/GitHub Cloud Data Platforms Data Warehousing Process Automation Key Competencies Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to manage multiple projects and priorities. Strong attention to detail and commitment to data accuracy. Self-motivated with the ability to work independently and in team environments.
11/06/2026
Full time
Job Description Data Automation Engineer Location: Hybrid (Washington D.C) 2-3 times a week Clearance: Active Secret Employment Type: Full Time Company Description Big Impact Tech (BIT) is a Small Business providing IT and business management consulting services to federal and commercial clients. We deliver mission-focused solutions in digital transformation, cloud technologies, cybersecurity, enterprise platforms, and program management. Position Overview We are seeking a skilled Data Automation Engineer to support Coast Guard data modernization and automation initiatives. The ideal candidate will design, develop, and maintain automated data pipelines, workflows, and integration solutions that improve operational efficiency, data quality, and reporting capabilities. This role requires expertise in data engineering, process automation, ETL/ELT development, and cloud-based data solutions. Key Responsibilities Design, develop, and maintain automated data pipelines and workflows to support business and operational reporting requirements. Build and optimize ETL/ELT processes for ingesting, transforming, and loading data from multiple source systems. Develop data integration solutions using APIs, databases, cloud services, and enterprise applications. Automate manual data collection, validation, reconciliation, and reporting processes. Monitor and troubleshoot data pipelines to ensure reliability, performance, and data integrity. Implement data quality checks, exception handling, and monitoring frameworks. Collaborate with business stakeholders, analysts, developers, and data engineers to gather requirements and deliver automated solutions. Support cloud-based data platforms and data warehouse environments. Develop scripts and automation tools to streamline operational processes. Create and maintain technical documentation, process flows, and standard operating procedures. Ensure compliance with organizational security, governance, and data management standards. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. 3+ years of experience in data engineering, automation, or data integration roles. Strong experience with Python, SQL, and automation scripting. Experience developing ETL/ELT pipelines and workflow orchestration. Experience with relational and non-relational databases. Strong understanding of data modeling, data transformation, and data quality practices. Experience working with APIs, file-based integrations, and enterprise data systems. Preferred Qualifications Experience supporting Coast Guard or other government-related programs. Experience with cloud platforms such as Azure, AWS, or Google Cloud. Experience with Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Apache Airflow, or similar tools. Knowledge of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). Experience with Power BI, Qlik, Tableau, or other reporting tools. Familiarity with Agile/Scrum methodologies. Technical Skills Python SQL ETL/ELT Development Data Pipeline Automation API Integration Azure Data Factory / Microsoft Fabric Databricks Snowflake Apache Airflow Git/GitHub Cloud Data Platforms Data Warehousing Process Automation Key Competencies Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to manage multiple projects and priorities. Strong attention to detail and commitment to data accuracy. Self-motivated with the ability to work independently and in team environments.
Job Description Job Description About Us Concord isn't your typical consulting firm; we're an execution company. We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption. Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We operate as a global team, with a presence across the United States, Latin America, Europe, and India, giving our clients access to specialized talent and continuous coverage across time zones. About The Role We are looking for a Business Intelligence Engineer to join our Business Intelligence team. In this role, you will focus on data preparation, data transformation, and analytics engineering. You'll work across the modern data stack to transform raw data into trusted, scalable data products, polished dashboards, and actionable insights. The ideal candidate has strong SQL and Python skills, and experience working with cloud data platforms such as Databricks and Snowflake. Additionally, familiarity with AI-powered analytics and productivity tooling is a plus, as we continue to explore how AI can improve data development, reporting, analysis, and business decision-making. What You Will Be Doing Create and maintain customized SQL queries, data models, and reporting data structures to support dashboards, reporting, analytics, and downstream use cases. Build, maintain, and optimize data pipelines and database architecture, including query performance tuning, automation workflows, and data processing. Develop and implement data transformation and ETL/ELT processes using modern data engineering and analytics platforms such as Databricks, Snowflake, Microsoft Azure, Google Cloud Platform and AWS. Partner with stakeholders to understand business requirements and translate them into data models and analytics use cases. Validate and profile data to identify, document, and resolve gaps between available data and requirements for reporting outputs, dashboards, modeling use cases, and downstream analysis. Develop automation using Python, SQL, and other scripting technologies to improve data workflows and reduce manual processes. Collaborate with data engineers, BI developers, analysts, and business stakeholders to ensure data solutions are scalable, reliable, and aligned to business needs. Stay current with AI-enabled data and analytics tooling, including emerging capabilities that can accelerate data product development. Evaluate and apply AI tooling appropriately, with an understanding of the importance of data security, governance, access controls, accuracy, and human validation when using AI in analytics environments. Contribute to the development of reusable analytics engineering patterns, best practices, and accelerators across the organization. What We Are Looking For At least 3 years of experience as a Business Intelligence Engineer, BI Developer, Analytics Engineer, Data Analyst, or in a similar technical role. Strong SQL skills, including experience writing complex queries, optimizing query performance, and working with large datasets. Experience integrating data from multiple source systems and working with complex enterprise data environments. Experience with Python or another scripting language for automation, data transformation, analysis, or application development. Hands-on experience with Databricks and/or Snowflake, with a strong preference for candidates who have experience working across both platforms. Experience developing and implementing ETL/ELT processes, data pipelines, and data transformation workflows. Experience with data modeling concepts including medallion, data vault, and relational architectures. Experience with modern cloud-based data solutions, including Snowflake, Databricks, AWS, Azure, or Google Cloud. Strong technical understanding of relational and analytical database technologies such as Snowflake, Databricks, Redshift, Vertica, BigQuery, PostgreSQL, Microsoft SQL Server, or MySQL. Experience with BI and visualization technologies such as Tableau, Power BI, Qlik, or similar platforms. Ability to translate business requirements into effective data models, reporting structures, dashboards, and analytics solutions. Familiarity with AI tools and AI-assisted development/analytics workflows, such as using generative AI to support SQL development, Python, data analysis, documentation, or other data and BI activities. Understanding of data quality, governance, security, and access considerations when developing analytics solutions. Strong analytical and problem-solving skills with the ability to investigate data issues and determine root causes. Excellent interpersonal, communication, listening, and presentation skills. Ability to work effectively both independently and as part of a collaborative team. Minimum of a Bachelor's degree in Analytics, Computer Science, Information Systems, Business or a related discipline or equivalent experience. What We Offer (W2 Benefits) Health, Dental, and Vision Insurance: Comprehensive coverage to support your well-being. Employer Contributions to Health Savings Accounts (HSA): Helping you save for medical expenses. Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a $200 Lifestyle Spending Account (LSA). Disability Insurance: Short- and long-term coverage, fully paid by the employer. Life and AD&D Insurance: Employer-provided coverage, with options for additional voluntary coverage. Employee Assistance Program (EAP): Access to personal and professional support resources. Career Growth Opportunities: Pathways for advancement and skill development. Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection. Paid Time Off and Holidays (Only W2 Salary ): PTO policy and paid company holidays. Additional Information Employment Type: Full-time employment with Concord Salary: $80,000-$110,000 annually Work Arrangement: Hybrid-flex; 1-2 days on-site, with flexibility Preferred Locations: Kansas City or Minneapolis Interview Process: (1) Introductory call, (2) Coding assessment, (3) Panel interview with the hiring team, and (4) Final round with the hiring manager Requirements: Must be legally authorized to work in the United States without company sponsorship, now or in the future. Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence! Powered by JazzHR 9i8L5P5TVU
11/06/2026
Full time
Job Description Job Description About Us Concord isn't your typical consulting firm; we're an execution company. We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption. Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We operate as a global team, with a presence across the United States, Latin America, Europe, and India, giving our clients access to specialized talent and continuous coverage across time zones. About The Role We are looking for a Business Intelligence Engineer to join our Business Intelligence team. In this role, you will focus on data preparation, data transformation, and analytics engineering. You'll work across the modern data stack to transform raw data into trusted, scalable data products, polished dashboards, and actionable insights. The ideal candidate has strong SQL and Python skills, and experience working with cloud data platforms such as Databricks and Snowflake. Additionally, familiarity with AI-powered analytics and productivity tooling is a plus, as we continue to explore how AI can improve data development, reporting, analysis, and business decision-making. What You Will Be Doing Create and maintain customized SQL queries, data models, and reporting data structures to support dashboards, reporting, analytics, and downstream use cases. Build, maintain, and optimize data pipelines and database architecture, including query performance tuning, automation workflows, and data processing. Develop and implement data transformation and ETL/ELT processes using modern data engineering and analytics platforms such as Databricks, Snowflake, Microsoft Azure, Google Cloud Platform and AWS. Partner with stakeholders to understand business requirements and translate them into data models and analytics use cases. Validate and profile data to identify, document, and resolve gaps between available data and requirements for reporting outputs, dashboards, modeling use cases, and downstream analysis. Develop automation using Python, SQL, and other scripting technologies to improve data workflows and reduce manual processes. Collaborate with data engineers, BI developers, analysts, and business stakeholders to ensure data solutions are scalable, reliable, and aligned to business needs. Stay current with AI-enabled data and analytics tooling, including emerging capabilities that can accelerate data product development. Evaluate and apply AI tooling appropriately, with an understanding of the importance of data security, governance, access controls, accuracy, and human validation when using AI in analytics environments. Contribute to the development of reusable analytics engineering patterns, best practices, and accelerators across the organization. What We Are Looking For At least 3 years of experience as a Business Intelligence Engineer, BI Developer, Analytics Engineer, Data Analyst, or in a similar technical role. Strong SQL skills, including experience writing complex queries, optimizing query performance, and working with large datasets. Experience integrating data from multiple source systems and working with complex enterprise data environments. Experience with Python or another scripting language for automation, data transformation, analysis, or application development. Hands-on experience with Databricks and/or Snowflake, with a strong preference for candidates who have experience working across both platforms. Experience developing and implementing ETL/ELT processes, data pipelines, and data transformation workflows. Experience with data modeling concepts including medallion, data vault, and relational architectures. Experience with modern cloud-based data solutions, including Snowflake, Databricks, AWS, Azure, or Google Cloud. Strong technical understanding of relational and analytical database technologies such as Snowflake, Databricks, Redshift, Vertica, BigQuery, PostgreSQL, Microsoft SQL Server, or MySQL. Experience with BI and visualization technologies such as Tableau, Power BI, Qlik, or similar platforms. Ability to translate business requirements into effective data models, reporting structures, dashboards, and analytics solutions. Familiarity with AI tools and AI-assisted development/analytics workflows, such as using generative AI to support SQL development, Python, data analysis, documentation, or other data and BI activities. Understanding of data quality, governance, security, and access considerations when developing analytics solutions. Strong analytical and problem-solving skills with the ability to investigate data issues and determine root causes. Excellent interpersonal, communication, listening, and presentation skills. Ability to work effectively both independently and as part of a collaborative team. Minimum of a Bachelor's degree in Analytics, Computer Science, Information Systems, Business or a related discipline or equivalent experience. What We Offer (W2 Benefits) Health, Dental, and Vision Insurance: Comprehensive coverage to support your well-being. Employer Contributions to Health Savings Accounts (HSA): Helping you save for medical expenses. Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a $200 Lifestyle Spending Account (LSA). Disability Insurance: Short- and long-term coverage, fully paid by the employer. Life and AD&D Insurance: Employer-provided coverage, with options for additional voluntary coverage. Employee Assistance Program (EAP): Access to personal and professional support resources. Career Growth Opportunities: Pathways for advancement and skill development. Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection. Paid Time Off and Holidays (Only W2 Salary ): PTO policy and paid company holidays. Additional Information Employment Type: Full-time employment with Concord Salary: $80,000-$110,000 annually Work Arrangement: Hybrid-flex; 1-2 days on-site, with flexibility Preferred Locations: Kansas City or Minneapolis Interview Process: (1) Introductory call, (2) Coding assessment, (3) Panel interview with the hiring team, and (4) Final round with the hiring manager Requirements: Must be legally authorized to work in the United States without company sponsorship, now or in the future. Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence! Powered by JazzHR 9i8L5P5TVU
Job Description Job Description Job Description:Please strictly adhere to the following resume naming convention: ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_CandidateBeelineID i.e. PTN_US SKIPJOHNSON0413 MSP Owner: William Bristol Location: See Below Duration: 6 months Role Overview We are looking for an IDMC Tech Lead to drive the technical analysis, design, build, validation, and testing activities for an Informatica CDI-PC to IDMC conversion initiative. The role requires strong hands-on experience across Informatica PowerCenter, CDI-PC, IICS/IDMC, Oracle SQL, and Unix, with the ability to understand asset complexity, estimate effort, allocate work, guide team members, and improve conversion processes. Required Skillset Skill Area Required Capabilities Expected Depth Informatica PowerCenter Mappings, sessions, workflows, mapplets, worklets, reusable transformations, parameter files, dependencies, and runtime behavior Advanced Informatica CDI-PC CDI-PC workflow, mapping, session analysis, parameterization, conversion considerations, and behavioral comparison with IDMC Advanced IICS / IDMC Mapping tasks, taskflows, connections, runtime environments, schedules, assets corresponding to sessions/workflows/mappings, validation, and deployment readiness Advanced Oracle SQL Source/target analysis, complex joins, data validation queries, reconciliation scripts, performance checks, and defect analysis Strong Unix Commands File handling, shell navigation, logs, permissions, grep/sed/awk basics, job support, and parameter/script analysis Strong Python Helpful for automation, validation utilities, metadata extraction, comparison reports, and repeatable migration accelerators Good to have B2B / EDI Awareness Familiarity with B2B services and healthcare EDI formats such as 835 and 837, including file structure awareness and integration considerations Preferred Skill Area Required Capabilities Expected Depth DVO Familiarity with Informatica Data Validation Option for automated data reconciliation and validation Preferred Key Responsibilities 1. CDI-PC / PowerCenter Asset Analysis Analyze Informatica CDI-PC / PowerCenter workflows, mappings, sessions, mapplets, worklets, parameter files, reusable components, and dependency structures. Assess current-state conversion readiness, identify complexity drivers, and document technical assumptions, gaps, and risks. Review runtime behaviors, parameterization patterns, file handling logic, source/target connectivity, and transformation-level dependencies. Analyze B2B service dependencies and EDI-related integration patterns, including awareness of 835/837 file format handling where applicable. 2. IDMC / IICS Design and Build Design and create IDMC / IICS assets corresponding to legacy sessions, mappings, workflows, and runtime configurations. Create and validate mapping tasks, taskflows, connections, schedules, parameters, and other IDMC assets required for end-to-end migration. Ensure IDMC implementation aligns with functional intent, source-to-target rules, transformation behavior, scheduling needs, and operational controls. Drive configuration consistency, naming standards, reusable patterns, and environment migration practices across the conversion workstream. 3. Complex Transformation Handling Provide deep technical analysis for complex Informatica transformations, including Java transformations, XML transformations, expression/router/lookup/aggregator patterns, and reusable transformation logic. Understand and explain how transformations behave in IDMC compared with CDI-PC / PowerCenter, including capability differences, conversion constraints, and required redesign patterns. Identify transformation-specific risks, build IDMC-compatible alternatives, and guide developers on remediation approaches. 4. Validation, Testing, and DVO Usage Own technical validation for converted assets, including unit testing, system integration testing support, data reconciliation, defect triage, and production-readiness checks. Create or review Oracle SQL-based validation queries and compare source/target results to confirm conversion accuracy. Leverage familiarity with Informatica Data Validation Option (DVO) to support repeatable reconciliation and automated validation where applicable. Review logs, runtime statistics, and failure patterns to troubleshoot issues across CDI-PC, IDMC, database, Unix, and file-handling layers. 5. Estimation, Planning, and Delivery Leadership Estimate conversion and testing effort based on asset complexity, including number of transformations, workflow dependencies, parameterization, source/target count, B2B/EDI interactions, custom logic, and testing scope. Break down technical work into actionable tasks and allocate work to team members based on skill, complexity, and delivery priorities. Track progress, identify blockers early, coordinate with functional teams, and support delivery governance through status inputs and risk communication. Suggest process improvements, reusable accelerators, automation opportunities, templates, and checklists to improve speed, quality, and consistency. 6. Knowledge Management and Team Enablement Prepare and maintain knowledge documentation, technical design notes, conversion playbooks, validation evidence, defect learnings, and implementation standards. Conduct walkthroughs with developers, QA, business analysts, and stakeholders to explain conversion approach, technical decisions, assumptions, and validation outcomes. Mentor team members on CDI-PC to IDMC conversion patterns, transformation differences, IDMC taskflow design, troubleshooting, and documentation practices. Technical Expectations by Workstream Workstream Tech Lead Ownership Key Outputs Discovery and Analysis Lead asset inventory review, complexity assessment, dependency mapping, parameter file review, and gap identification. Analysis notes, complexity ratings, effort estimates, migration assumptions, risk log IDMC Build Guide and review creation of mappings, mapping tasks, taskflows, connections, parameters, and other migrated assets. IDMC assets, build checklist, peer review findings, configuration standards Transformation Remediation Evaluate Java, XML, and complex transformation behavior and define IDMC-compatible design patterns. Remediation design, conversion rules, transformation decision log Validation and Testing Define validation approach, review SQL/DVO reconciliation, support test execution, and drive defect closure. Test evidence, reconciliation reports, defect RCA, sign-off inputs Delivery Governance Estimate, plan, allocate tasks, monitor progress, escalate risks, and improve repeatable delivery process. Task plan, allocation tracker, status inputs, lessons learned, process improvements Knowledge Documentation Document conversion patterns, standards, limitations, and operational knowledge for future support. KT documents, playbooks, runbooks, best-practice guides Minimum Qualifications 8 years of experience in Informatica delivery, with strong hands-on experience in PowerCenter and/or CDI-PC. Practical experience with IICS / IDMC asset creation, validation, and troubleshooting. Strong Oracle SQL skills for data analysis, reconciliation, and defect investigation. Working knowledge of Unix commands for file processing, log review, and operational support. Experience leading technical teams, assigning work, reviewing deliverables, and guiding remediation of complex issues. Ability to understand existing ETL logic, compare behavior across platforms, and translate legacy designs into IDMC assets. Preferred Qualifications Experience in Informatica CDI-PC to IDMC / IICS conversion or modernization programs. Familiarity with B2B services and EDI files, especially healthcare-related 835/837 formats. Experience with Informatica Data Validation Option (DVO) or similar automated data validation tools. Python scripting experience for automation, metadata parsing, comparison reporting, or validation utilities. Role Descriptions: 5 years of Experience in Design Develop and maintain data integration workflows using Informatica IDMC (Cloud Data Integration (Azure) Cloud Application Integration etc.).2. Build and optimize ETL/ELT pipelines that ingest transform and load data into Databricks Lakehouse.3. Proficiency in Linux/Python scripting4. Collaborate with data architects analysts and business stakeholders to understand data requirements and deliver robust solutions.5. Implement best practices for data governance metadata management and data quality using Informatica tools.6. Configure and manage connections between Informatica IDMC and Databricks including secure authentication and data movement strategies.7. Monitor and troubleshoot data pipelines for performance reliability and scalability.8. Automate data workflows and orchestrate jobs using Informaticas scheduling and event-driven capabilities.9. Document technical specifications data flow diagrams and operational procedures.10. Experience with Peta byte scale data ingestion data migration.11. Ability to adopt various type of data formats and data sizes. Essential Skills: Informatica IDMC (IICS) Developer Desirable Skills: Azure data factory Databricks Azure Synapse Analytics Python Sql Pyspark Databricks . click apply for full job details
11/06/2026
Full time
Job Description Job Description Job Description:Please strictly adhere to the following resume naming convention: ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_CandidateBeelineID i.e. PTN_US SKIPJOHNSON0413 MSP Owner: William Bristol Location: See Below Duration: 6 months Role Overview We are looking for an IDMC Tech Lead to drive the technical analysis, design, build, validation, and testing activities for an Informatica CDI-PC to IDMC conversion initiative. The role requires strong hands-on experience across Informatica PowerCenter, CDI-PC, IICS/IDMC, Oracle SQL, and Unix, with the ability to understand asset complexity, estimate effort, allocate work, guide team members, and improve conversion processes. Required Skillset Skill Area Required Capabilities Expected Depth Informatica PowerCenter Mappings, sessions, workflows, mapplets, worklets, reusable transformations, parameter files, dependencies, and runtime behavior Advanced Informatica CDI-PC CDI-PC workflow, mapping, session analysis, parameterization, conversion considerations, and behavioral comparison with IDMC Advanced IICS / IDMC Mapping tasks, taskflows, connections, runtime environments, schedules, assets corresponding to sessions/workflows/mappings, validation, and deployment readiness Advanced Oracle SQL Source/target analysis, complex joins, data validation queries, reconciliation scripts, performance checks, and defect analysis Strong Unix Commands File handling, shell navigation, logs, permissions, grep/sed/awk basics, job support, and parameter/script analysis Strong Python Helpful for automation, validation utilities, metadata extraction, comparison reports, and repeatable migration accelerators Good to have B2B / EDI Awareness Familiarity with B2B services and healthcare EDI formats such as 835 and 837, including file structure awareness and integration considerations Preferred Skill Area Required Capabilities Expected Depth DVO Familiarity with Informatica Data Validation Option for automated data reconciliation and validation Preferred Key Responsibilities 1. CDI-PC / PowerCenter Asset Analysis Analyze Informatica CDI-PC / PowerCenter workflows, mappings, sessions, mapplets, worklets, parameter files, reusable components, and dependency structures. Assess current-state conversion readiness, identify complexity drivers, and document technical assumptions, gaps, and risks. Review runtime behaviors, parameterization patterns, file handling logic, source/target connectivity, and transformation-level dependencies. Analyze B2B service dependencies and EDI-related integration patterns, including awareness of 835/837 file format handling where applicable. 2. IDMC / IICS Design and Build Design and create IDMC / IICS assets corresponding to legacy sessions, mappings, workflows, and runtime configurations. Create and validate mapping tasks, taskflows, connections, schedules, parameters, and other IDMC assets required for end-to-end migration. Ensure IDMC implementation aligns with functional intent, source-to-target rules, transformation behavior, scheduling needs, and operational controls. Drive configuration consistency, naming standards, reusable patterns, and environment migration practices across the conversion workstream. 3. Complex Transformation Handling Provide deep technical analysis for complex Informatica transformations, including Java transformations, XML transformations, expression/router/lookup/aggregator patterns, and reusable transformation logic. Understand and explain how transformations behave in IDMC compared with CDI-PC / PowerCenter, including capability differences, conversion constraints, and required redesign patterns. Identify transformation-specific risks, build IDMC-compatible alternatives, and guide developers on remediation approaches. 4. Validation, Testing, and DVO Usage Own technical validation for converted assets, including unit testing, system integration testing support, data reconciliation, defect triage, and production-readiness checks. Create or review Oracle SQL-based validation queries and compare source/target results to confirm conversion accuracy. Leverage familiarity with Informatica Data Validation Option (DVO) to support repeatable reconciliation and automated validation where applicable. Review logs, runtime statistics, and failure patterns to troubleshoot issues across CDI-PC, IDMC, database, Unix, and file-handling layers. 5. Estimation, Planning, and Delivery Leadership Estimate conversion and testing effort based on asset complexity, including number of transformations, workflow dependencies, parameterization, source/target count, B2B/EDI interactions, custom logic, and testing scope. Break down technical work into actionable tasks and allocate work to team members based on skill, complexity, and delivery priorities. Track progress, identify blockers early, coordinate with functional teams, and support delivery governance through status inputs and risk communication. Suggest process improvements, reusable accelerators, automation opportunities, templates, and checklists to improve speed, quality, and consistency. 6. Knowledge Management and Team Enablement Prepare and maintain knowledge documentation, technical design notes, conversion playbooks, validation evidence, defect learnings, and implementation standards. Conduct walkthroughs with developers, QA, business analysts, and stakeholders to explain conversion approach, technical decisions, assumptions, and validation outcomes. Mentor team members on CDI-PC to IDMC conversion patterns, transformation differences, IDMC taskflow design, troubleshooting, and documentation practices. Technical Expectations by Workstream Workstream Tech Lead Ownership Key Outputs Discovery and Analysis Lead asset inventory review, complexity assessment, dependency mapping, parameter file review, and gap identification. Analysis notes, complexity ratings, effort estimates, migration assumptions, risk log IDMC Build Guide and review creation of mappings, mapping tasks, taskflows, connections, parameters, and other migrated assets. IDMC assets, build checklist, peer review findings, configuration standards Transformation Remediation Evaluate Java, XML, and complex transformation behavior and define IDMC-compatible design patterns. Remediation design, conversion rules, transformation decision log Validation and Testing Define validation approach, review SQL/DVO reconciliation, support test execution, and drive defect closure. Test evidence, reconciliation reports, defect RCA, sign-off inputs Delivery Governance Estimate, plan, allocate tasks, monitor progress, escalate risks, and improve repeatable delivery process. Task plan, allocation tracker, status inputs, lessons learned, process improvements Knowledge Documentation Document conversion patterns, standards, limitations, and operational knowledge for future support. KT documents, playbooks, runbooks, best-practice guides Minimum Qualifications 8 years of experience in Informatica delivery, with strong hands-on experience in PowerCenter and/or CDI-PC. Practical experience with IICS / IDMC asset creation, validation, and troubleshooting. Strong Oracle SQL skills for data analysis, reconciliation, and defect investigation. Working knowledge of Unix commands for file processing, log review, and operational support. Experience leading technical teams, assigning work, reviewing deliverables, and guiding remediation of complex issues. Ability to understand existing ETL logic, compare behavior across platforms, and translate legacy designs into IDMC assets. Preferred Qualifications Experience in Informatica CDI-PC to IDMC / IICS conversion or modernization programs. Familiarity with B2B services and EDI files, especially healthcare-related 835/837 formats. Experience with Informatica Data Validation Option (DVO) or similar automated data validation tools. Python scripting experience for automation, metadata parsing, comparison reporting, or validation utilities. Role Descriptions: 5 years of Experience in Design Develop and maintain data integration workflows using Informatica IDMC (Cloud Data Integration (Azure) Cloud Application Integration etc.).2. Build and optimize ETL/ELT pipelines that ingest transform and load data into Databricks Lakehouse.3. Proficiency in Linux/Python scripting4. Collaborate with data architects analysts and business stakeholders to understand data requirements and deliver robust solutions.5. Implement best practices for data governance metadata management and data quality using Informatica tools.6. Configure and manage connections between Informatica IDMC and Databricks including secure authentication and data movement strategies.7. Monitor and troubleshoot data pipelines for performance reliability and scalability.8. Automate data workflows and orchestrate jobs using Informaticas scheduling and event-driven capabilities.9. Document technical specifications data flow diagrams and operational procedures.10. Experience with Peta byte scale data ingestion data migration.11. Ability to adopt various type of data formats and data sizes. Essential Skills: Informatica IDMC (IICS) Developer Desirable Skills: Azure data factory Databricks Azure Synapse Analytics Python Sql Pyspark Databricks . click apply for full job details
Job Description Job Description Job Details: Must Have Skills Strong technical skills (.NET, Java, React, MS SQL, SSIS, Azure, AWS, Databricks, Tibco Total experience of 15 years, with 8 years of experience in Project Management and execution Expertise in US Healthcare in Data, Claims, Clinical, Payment integrity. Nice to have skills Agile Methodologies & Scrum Framework Excution experience Project Management E2E & Leadership experience Scrum Master Certification Detailed Job Description Strong technical skills .NET, Java, React, MS SQL, SSIS, Azure, AWS, Databricks, Tibco Total experience of 15 years, with 8 years of experience in Project Management and execution Expertise in US Healthcare in Data, Claims, Clinical, Payment integrity. Strong technical skills .NET, Java, React, MS SQL, SSIS, Azure, AWS, Databricks, Tibco Total experience of 15 years, with 8 years of experience in Project Management and execution Expertise in US Healthcare in Data, Claims, Clinical, Payment integ Minimum years of experience
11/06/2026
Full time
Job Description Job Description Job Details: Must Have Skills Strong technical skills (.NET, Java, React, MS SQL, SSIS, Azure, AWS, Databricks, Tibco Total experience of 15 years, with 8 years of experience in Project Management and execution Expertise in US Healthcare in Data, Claims, Clinical, Payment integrity. Nice to have skills Agile Methodologies & Scrum Framework Excution experience Project Management E2E & Leadership experience Scrum Master Certification Detailed Job Description Strong technical skills .NET, Java, React, MS SQL, SSIS, Azure, AWS, Databricks, Tibco Total experience of 15 years, with 8 years of experience in Project Management and execution Expertise in US Healthcare in Data, Claims, Clinical, Payment integrity. Strong technical skills .NET, Java, React, MS SQL, SSIS, Azure, AWS, Databricks, Tibco Total experience of 15 years, with 8 years of experience in Project Management and execution Expertise in US Healthcare in Data, Claims, Clinical, Payment integ Minimum years of experience
Job Description Job Description MLOps Engineer Job Title MLOps Engineer Job Summary We are seeking a skilled MLOps Engineer to design, build, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will bridge the gap between data science and software engineering by automating the end-to-end machine learning lifecycle, including model training, deployment, monitoring, versioning, and continuous integration/continuous deployment (CI/CD). You will work closely with data scientists, machine learning engineers, DevOps teams, and software developers to deliver reliable, production-ready AI solutions. Key Responsibilities Design, develop, and maintain scalable MLOps pipelines for machine learning model development and deployment. Automate model training, testing, validation, deployment, monitoring, and retraining workflows. Build and manage CI/CD pipelines for machine learning applications. Deploy and manage machine learning models on cloud platforms and Kubernetes environments. Implement model versioning, experiment tracking, and artifact management. Monitor model performance, data drift, concept drift, latency, and system health. Develop feature stores, model registries, and automated retraining pipelines. Collaborate with data scientists and ML engineers to optimize models for production environments. Ensure security, scalability, reliability, and compliance of ML infrastructure. Optimize infrastructure costs and resource utilization. Maintain technical documentation, deployment procedures, and operational best practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related field. 3 6 years of experience in MLOps, DevOps, Machine Learning Engineering, or Cloud Engineering. Strong proficiency in Python. Experience with Linux, shell scripting, and Git. Hands-on experience with Docker and Kubernetes. Experience building CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps. Knowledge of machine learning workflows and model deployment practices. Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Strong understanding of REST APIs and microservices architecture. Preferred Qualifications Experience with MLOps platforms such as MLflow, Kubeflow, SageMaker, Vertex AI, Azure Machine Learning, or Databricks. Familiarity with workflow orchestration tools such as Apache Airflow, Prefect, or Argo Workflows. Experience with feature stores, model registries, and experiment tracking. Knowledge of Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack, or OpenTelemetry. Understanding of LLMOps, Generative AI deployment, Retrieval-Augmented Generation (RAG), and vector databases. Technical Skills Python Linux Shell Scripting Git Docker Kubernetes MLflow Kubeflow Apache Airflow Jenkins GitHub Actions GitLab CI/CD Terraform REST APIs AWS / Azure / Google Cloud SageMaker / Vertex AI / Azure Machine Learning Prometheus Grafana SQL Soft Skills Strong analytical and troubleshooting skills. Excellent problem-solving and automation mindset. Effective communication and collaboration skills. Ability to work in Agile and cross-functional teams. Attention to detail and commitment to operational excellence. Continuous learning mindset and passion for emerging AI technologies. Nice to Have Experience deploying Large Language Models (LLMs) and Generative AI applications. Familiarity with vector databases such as Pinecone, Milvus, Weaviate, or FAISS. Knowledge of distributed training frameworks such as Ray or DeepSpeed. Experience with GPU infrastructure and model optimization techniques. Contributions to open-source MLOps or AI infrastructure projects. Benefits Competitive salary and performance-based incentives. Comprehensive health and wellness benefits. Flexible or hybrid work arrangements. Learning, certification, and conference sponsorship opportunities. Access to modern cloud infrastructure, GPUs, and AI platforms. Opportunity to work on cutting-edge AI, machine learning, and cloud technologies in a collaborative environment.
11/06/2026
Full time
Job Description Job Description MLOps Engineer Job Title MLOps Engineer Job Summary We are seeking a skilled MLOps Engineer to design, build, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will bridge the gap between data science and software engineering by automating the end-to-end machine learning lifecycle, including model training, deployment, monitoring, versioning, and continuous integration/continuous deployment (CI/CD). You will work closely with data scientists, machine learning engineers, DevOps teams, and software developers to deliver reliable, production-ready AI solutions. Key Responsibilities Design, develop, and maintain scalable MLOps pipelines for machine learning model development and deployment. Automate model training, testing, validation, deployment, monitoring, and retraining workflows. Build and manage CI/CD pipelines for machine learning applications. Deploy and manage machine learning models on cloud platforms and Kubernetes environments. Implement model versioning, experiment tracking, and artifact management. Monitor model performance, data drift, concept drift, latency, and system health. Develop feature stores, model registries, and automated retraining pipelines. Collaborate with data scientists and ML engineers to optimize models for production environments. Ensure security, scalability, reliability, and compliance of ML infrastructure. Optimize infrastructure costs and resource utilization. Maintain technical documentation, deployment procedures, and operational best practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related field. 3 6 years of experience in MLOps, DevOps, Machine Learning Engineering, or Cloud Engineering. Strong proficiency in Python. Experience with Linux, shell scripting, and Git. Hands-on experience with Docker and Kubernetes. Experience building CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or Azure DevOps. Knowledge of machine learning workflows and model deployment practices. Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Strong understanding of REST APIs and microservices architecture. Preferred Qualifications Experience with MLOps platforms such as MLflow, Kubeflow, SageMaker, Vertex AI, Azure Machine Learning, or Databricks. Familiarity with workflow orchestration tools such as Apache Airflow, Prefect, or Argo Workflows. Experience with feature stores, model registries, and experiment tracking. Knowledge of Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack, or OpenTelemetry. Understanding of LLMOps, Generative AI deployment, Retrieval-Augmented Generation (RAG), and vector databases. Technical Skills Python Linux Shell Scripting Git Docker Kubernetes MLflow Kubeflow Apache Airflow Jenkins GitHub Actions GitLab CI/CD Terraform REST APIs AWS / Azure / Google Cloud SageMaker / Vertex AI / Azure Machine Learning Prometheus Grafana SQL Soft Skills Strong analytical and troubleshooting skills. Excellent problem-solving and automation mindset. Effective communication and collaboration skills. Ability to work in Agile and cross-functional teams. Attention to detail and commitment to operational excellence. Continuous learning mindset and passion for emerging AI technologies. Nice to Have Experience deploying Large Language Models (LLMs) and Generative AI applications. Familiarity with vector databases such as Pinecone, Milvus, Weaviate, or FAISS. Knowledge of distributed training frameworks such as Ray or DeepSpeed. Experience with GPU infrastructure and model optimization techniques. Contributions to open-source MLOps or AI infrastructure projects. Benefits Competitive salary and performance-based incentives. Comprehensive health and wellness benefits. Flexible or hybrid work arrangements. Learning, certification, and conference sponsorship opportunities. Access to modern cloud infrastructure, GPUs, and AI platforms. Opportunity to work on cutting-edge AI, machine learning, and cloud technologies in a collaborative environment.
