Today
Public Trust
Unspecified
Unspecified
IT - Database
Remote/Hybrid• (Off-Site/Hybrid)
At GDIT, your work makes a difference. Join us as a Data Engineer and help accelerate the processing of Veterans' claims through the Unified Claims Acceleration Platform (UCAP)-a mission-critical solution that delivers faster, more transparent service to Veterans and their families.
Through our DigitalVBA initiative, GDIT is transforming the VA's Veterans Benefits Administration (VBA) into an AI-enabled, paperless organization. Your work will fuel this transformation by building the data pipelines, platforms, and models that make intelligent, real-time decisions possible-supporting the VA's goals of achieving "Express 30" and eliminating the claims backlog.
As a Data Engineer, you will design and implement scalable data solutions in AWS to support high-performance analytics, automation, and machine learning for the UCAP solution. You'll work with cloud architects, data scientists, and application developers to ensure Veterans get the benefits they've earned, faster and more reliably.
Responsibilities:
• Build and maintain data pipelines to extract, transform, and load structured and unstructured data into scalable AWS-based data platforms.
• Design and optimize data architectures using AWS services like Glue, Redshift, S3, Athena, Lambda, EMR, and RDS.
• Implement and enforce data governance, security, and quality policies in accordance with VA standards.
• Support data ingestion from legacy systems and external partners, including OCR, APIs, and flat files.
• Develop reusable scripts and automation for data transformation and orchestration (Python, SQL, PySpark, etc.).
• Collaborate with analysts and data scientists to support advanced analytics and ML initiatives.
• Monitor, troubleshoot, and tune performance of ETL workflows and database systems.
• Contribute to DevSecOps and CI/CD practices for data engineering components.
Qualifications:
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
• 10+ years of experience in data engineering, data warehousing, or cloud data platforms.
• Hands-on experience with AWS data services (Glue, S3, Redshift, Lambda, Athena, etc.).
• Proficiency in Python, SQL, and ETL development.
• Familiarity with data lake and data warehouse architectures.
• Experience with DevOps tools, version control (Git), and CI/CD pipelines.
• Understanding of data privacy, security, and compliance in regulated environments.
• Experience with healthcare or government datasets is a plus.
• AWS certifications such as Data Analytics - Specialty or Solutions Architect preferred.
• Must be able to obtain a Position of Trust and successfully pass a thorough Government background screening process requiring the completion of detailed forms and fingerprinting
Why GDIT:
• Mission Impact: Contribute to solutions that directly support our nation's Veterans.
• Innovation-Focused: Work on cloud-first, AI-enabled platforms in a modern data ecosystem.
• Flexible Work: Remote-friendly role with supportive leadership and work-life balance.
• Career Growth: Ongoing training, certification support, and advancement opportunities.
• Competitive Pay & Benefits: Salary, retirement, healthcare, paid time off, and more.
Work Requirements
Through our DigitalVBA initiative, GDIT is transforming the VA's Veterans Benefits Administration (VBA) into an AI-enabled, paperless organization. Your work will fuel this transformation by building the data pipelines, platforms, and models that make intelligent, real-time decisions possible-supporting the VA's goals of achieving "Express 30" and eliminating the claims backlog.
As a Data Engineer, you will design and implement scalable data solutions in AWS to support high-performance analytics, automation, and machine learning for the UCAP solution. You'll work with cloud architects, data scientists, and application developers to ensure Veterans get the benefits they've earned, faster and more reliably.
Responsibilities:
• Build and maintain data pipelines to extract, transform, and load structured and unstructured data into scalable AWS-based data platforms.
• Design and optimize data architectures using AWS services like Glue, Redshift, S3, Athena, Lambda, EMR, and RDS.
• Implement and enforce data governance, security, and quality policies in accordance with VA standards.
• Support data ingestion from legacy systems and external partners, including OCR, APIs, and flat files.
• Develop reusable scripts and automation for data transformation and orchestration (Python, SQL, PySpark, etc.).
• Collaborate with analysts and data scientists to support advanced analytics and ML initiatives.
• Monitor, troubleshoot, and tune performance of ETL workflows and database systems.
• Contribute to DevSecOps and CI/CD practices for data engineering components.
Qualifications:
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
• 10+ years of experience in data engineering, data warehousing, or cloud data platforms.
• Hands-on experience with AWS data services (Glue, S3, Redshift, Lambda, Athena, etc.).
• Proficiency in Python, SQL, and ETL development.
• Familiarity with data lake and data warehouse architectures.
• Experience with DevOps tools, version control (Git), and CI/CD pipelines.
• Understanding of data privacy, security, and compliance in regulated environments.
• Experience with healthcare or government datasets is a plus.
• AWS certifications such as Data Analytics - Specialty or Solutions Architect preferred.
• Must be able to obtain a Position of Trust and successfully pass a thorough Government background screening process requiring the completion of detailed forms and fingerprinting
Why GDIT:
• Mission Impact: Contribute to solutions that directly support our nation's Veterans.
• Innovation-Focused: Work on cloud-first, AI-enabled platforms in a modern data ecosystem.
• Flexible Work: Remote-friendly role with supportive leadership and work-life balance.
• Career Growth: Ongoing training, certification support, and advancement opportunities.
• Competitive Pay & Benefits: Salary, retirement, healthcare, paid time off, and more.
Work Requirements
group id: 90979310
Explore the Art of the Possible | GDIT
