Data Engineer / Integration Specialist #1768469

Network Designs Inc.Washington, DC
Hybrid

About The Position

We are seeking a Data Engineer / Integration Specialist to support data modernization and interoperability initiatives for the VA under T4NG2. This role focuses on building data pipelines, enabling system integration, and supporting enterprise data exchange. This position is critical to improving data accessibility, interoperability, and decision-making across VA systems.

Requirements

  • U.S. Citizenship is required
  • Must be able to obtain a Public Trust clearance.
  • Bachelor degree in Computer Science or related
  • Minimum of ten (10) years of relevant experience
  • Experience with ETL tools and data pipeline development
  • Proficiency in SQL and programming languages (Python, Java)
  • Experience with APIs, microservices, and middleware
  • Knowledge of data modeling and architecture
  • Experience with event-driven and streaming data architectures (e.g., Kafka, Kinesis, SQS/SNS)
  • Experience integrating with VA Lighthouse APIs or enterprise API gateway platforms
  • Knowledge of FHIR-based APIs and real-time healthcare data exchange patterns (not just HL7/FHIR formats)
  • Experience working in AWS GovCloud environments
  • Familiarity with cloud-native data services (e.g., S3, Glue, Lambda, RDS, Redshift, Kinesis)
  • Experience with data governance, lineage, and data quality frameworks
  • Understanding of data security and privacy controls in regulated environments (PII/PHI, FISMA/FedRAMP)
  • Experience with API-first integration patterns and microservices-based data access
  • Experience supporting legacy system integration (mainframe or monolith modernization)
  • Familiarity with containerized data services (Docker/Kubernetes)

Nice To Haves

  • Certifications in data engineering or cloud platforms are preferred
  • Experience with healthcare data (HL7, FHIR)
  • Experience supporting federal or VA data systems
  • Knowledge of big data technologies (Spark, Hadoop)

Responsibilities

  • Design and develop data pipelines and ETL processes
  • Build and maintain APIs and integration services
  • Support data migration, transformation, and standardization
  • Ensure interoperability across systems and platforms
  • Work with structured and unstructured data sources
  • Optimize data performance and reliability
  • Collaborate with analytics and application teams

Benefits

  • comprehensive health, dental, vision, pet, and legal insurance
  • 401(k) retirement matching
  • paid leave
  • paid holidays
  • health and wellness programs
  • employer-paid life and disability insurance
  • professional development
  • education benefits
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