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Data Engineer | VA Claims Modernization

LMI
Remote, USA
Full-time
Senior · 5+ years experience
Remote
USD 120000-180000 yearly / year
Discovered Today
PythonSQLPySparkApache SparkAWSAzure

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Minimum 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.

Desired Qualifications

  • VA / Veterans Benefits Experience: Experience supporting the Department of Veterans Affairs, Veterans Benefits Administration, disability compensation claims, claims adjudication workflows, evidence management, or other federal benefits-processing systems.
  • VA Systems & APIs: Familiarity with the Veterans Benefits Management System (VBMS), VA Lighthouse Benefits Claims or Benefits Intake APIs, electronic claims folders, or comparable federal benefits data environments.
  • Modern Cloud Data Platforms: Experience with technologies such as AWS Glue, S3, Azure Data Factory, Microsoft Fabric, Databricks, Delta Lake, Snowflake, or comparable enterprise data platforms.
  • Data Orchestration & Advanced Engineering: Experience with Apache Airflow, event-driven data integration, change data capture, data lakehouse architectures, data lineage tooling, or modern data transformation frameworks.
  • Analytics & Microsoft Technologies: Familiarity with Power BI, Power Query, Microsoft Power Platform, or developing data products that support enterprise reporting and workflow applications.
  • AI/ML & Document Processing: Experience preparing governed datasets for AI/ML use cases, document intelligence, OCR, natural language processing, or automation involving large volumes of claims documents and supporting evidence.
  • Legacy Modernization: Experience modernizing legacy databases, data pipelines, or analytical processes into automated, scalable, cloud-based solutions.
  • Federal Delivery: Experience working in Agile or DevSecOps environments supporting federal government customers, particularly within regulated environments requiring strong data governance, security, and auditability.
  • Relevant cloud, data engineering, or platform certifications are a plus.
  • Target salary range: $120,000 - $180,000
  • Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
  • US-Remote US-VA-Tysons US-DC-Washington, DC

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