Remote Data Engineer for VA Claims Modernization

LMI; Tysons (VA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

LMI is seeking a Data Engineer in Tysons, VA to design and optimize scalable data pipelines for VA claims data, evidence management, and analytics. You will work across AWS/Azure cloud environments, build production-grade data solutions, and ensure data quality and security.

This role requires collaboration with VA stakeholders to enable faster, more accurate claims processing. Join a mission-driven team delivering data-driven outcomes for veterans and their families, with modern data

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical discipline, or equivalent relevant professional experience.
• 5+ years of experience in data engineering, software engineering, enterprise data integration, or development of production data systems.
• Strong hands-on proficiency in Python and SQL, including developing complex queries, data transformations, automation scripts, and production data pipelines.
• Experience designing, developing, and maintaining scalable ETL/ELT pipelines involving multiple enterprise data sources and complex data transformation requirements.
• Experience using Apache Spark, PySpark, or comparable distributed data-processing technologies to develop and optimize data workflows.
• Hands-on experience with cloud data services in AWS, Azure, or comparable cloud environments, including data storage, processing, orchestration, and integration.
• Strong understanding of relational databases, data modeling, data warehousing, and database optimization, including experience with 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 engineering practices.
• Familiarity with secure data handling, access controls, and governance principles for sensitive enterprise or federal information.
• Strong analytical, troubleshooting, documentation, and communication skills, with the ability to collaborate effectively with technical teams and government stakeholders.
• Ability to satisfy VA personnel suitability, applicable Public Trust requirements, and federal security and privacy requirements associated with the position.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Integrate VA data from multiple sources and develop reusable integrations.
• Modernize claims processing data workflows and analytics.
• Apply cloud data engineering in AWS or Azure.
• Design relational and analytical data models for claims operations.
• Ensure data quality, governance, and security.

Skills

Python

SQL

ETL/ELT pipelines

Apache Spark

PySpark

REST APIs

CI/CD

Data modeling

Data warehousing

Data governance

Education

Bachelors in Computer Science or related field

Tools

AWS

Azure

Power BI

Job description

LMI is seeking a Data Engineer in Tysons, VA to design and optimize scalable data pipelines for VA claims data, evidence management, and analytics. You will work across AWS/Azure cloud environments, build production-grade data solutions, and ensure data quality and security.

This role requires collaboration with VA stakeholders to enable faster, more accurate claims processing. Join a mission-driven team delivering data-driven outcomes for veterans and their families, with modern data