Data Engineer | VA Claims Modernization
Logistics Management Institute19 days ago
Remote, United States or Washington, DC, USASenior
Base Salary
$170k - $220k/yr
Responsibilities
- Design, develop, maintain, and optimize scalable secure ETL/ELT pipelines using Python, SQL, PySpark, and modern data engineering frameworks.
- Integrate structured, semi-structured, and unstructured data from VA systems, claims applications, evidence repositories, medical records, external sources, and enterprise databases.
- Build reusable integrations using REST APIs, JSON, secure file exchanges, and other enterprise integration methods.
- Engineer data solutions for claims intake, evidence collection, validation, workflow routing, status tracking, and downstream processing.
- Develop cloud data solutions using AWS, Azure, or comparable environments for storage, processing, orchestration, and analytics.
- Design and maintain relational, dimensional, analytical, data lake, data warehouse, and lakehouse models and architectures.
- Process large-scale datasets with Apache Spark and PySpark while optimizing SQL queries, databases, transformations, and workflows.
- Implement automated data validation, reconciliation, monitoring, quality controls, metadata, data lineage, traceability, and business rules.
- Build batch, incremental, and event-driven workflows with scheduling, automated testing, error handling, logging, and monitoring.
- Develop trusted datasets and data products for Power BI reporting, operational analytics, predictive analytics, and approved AI/ML-enabled workflows.
- Implement encryption, role-based access controls, auditability, data minimization, and protections for PII and PHI in alignment with VA, FISMA, privacy, and records-management requirements.
- Apply Git-based version control, code reviews, CI/CD, automated testing, documentation, and infrastructure as code where applicable.
- Collaborate with VA stakeholders, claims subject matter experts, data architects, application developers, and analytics teams.
- Modernize legacy integrations and improve interoperability, performance, reliability, and claims workflow efficiency.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical discipline, or equivalent relevant professional experience.
- At least 5 years of experience in data engineering, software engineering, enterprise data integration, or production data systems.
- Hands-on proficiency in Python and SQL, including complex queries, transformations, automation scripts, and production data pipelines.
- Experience designing, developing, and maintaining scalable ETL/ELT pipelines involving multiple enterprise data sources and complex transformations.
- Experience with Apache Spark, PySpark, or comparable distributed data-processing technologies.
- Hands-on experience with AWS, Azure, or comparable cloud environments, including storage, processing, orchestration, and integration services.
- Understanding of relational databases, data modeling, data warehousing, and database optimization, including SQL Server, PostgreSQL, or comparable technologies.
- Experience integrating data through REST APIs, JSON, secure file exchanges, and other enterprise integration methods.
- Experience implementing data-quality checks, pipeline monitoring, automated testing, version control, and CI/CD or comparable practices.
- Familiarity with secure data handling, access controls, and governance for sensitive enterprise or federal information.
- Strong analytical, troubleshooting, documentation, and communication skills and the ability to collaborate with technical teams and government stakeholders.
- Ability to satisfy VA personnel suitability, Public Trust, and applicable federal security and privacy requirements.
- VA, Veterans Benefits Administration, disability compensation, claims adjudication, evidence management, or federal benefits-processing experience is desired.
- Familiarity with VBMS, VA Lighthouse Benefits Claims or Benefits Intake APIs, electronic claims folders, or comparable federal benefits environments is desired.
- Experience with AWS Glue, S3, Azure Data Factory, Microsoft Fabric, Databricks, Delta Lake, Snowflake, Apache Airflow, change data capture, data lineage tooling, modern transformation frameworks, Power BI, Power Query, Microsoft Power Platform, AI/ML datasets, document intelligence, OCR, natural language processing, legacy modernization, or federal delivery is desired.
- Relevant cloud, data engineering, or platform certifications are a plus.
Benefits
- Target salary range is $170,000-$220,000 annually.
- Work locations include remote U.S., Tysons, Virginia, and Washington, DC.
- The role supports federal government customers and may require VA personnel suitability, Public Trust, and federal security and privacy compliance.
Tech Stack
Categories
Data Engineering
About Logistics Management Institute
Logistics Management Institute (LMI) provides consulting, software development, and analytics services to U.S. federal agencies, with strengths in supply chain, digital engineering, AI, and modeling and simulation. It builds and sustains government systems—such as Army acquisition and contract-writing platforms—while delivering data-driven modernization and program support across defense, space, healthcare, and energy. Founded in 1961 and headquartered in Tysons, Virginia, LMI operates as a privately held contractor to the public sector.