Data Engineer – VA Claims Modernization

🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $120k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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LMI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1961

📦 Logistics

🏥 Healthcare

🎖️ Defense

Logistics • Healthcare • Defense

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• Design, develop, and maintain 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 • Engineer solutions for claims intake, evidence collection, validation, workflow routing, status tracking, and downstream processing • Develop and optimize cloud data solutions using AWS, Azure, or comparable environments • Design and maintain relational, dimensional, and analytical data models using data lake, warehouse, and lakehouse patterns • Process large-scale datasets with Apache Spark and PySpark; optimize queries, databases, transformations, and workflows • Establish data validation, reconciliation, monitoring, quality controls, metadata, lineage, traceability, and documented business rules • Build batch, incremental, and event-driven workflows with testing, scheduling, error handling, logging, and monitoring • Develop analysis-ready datasets and data products for Power BI, operational analytics, predictive analytics, and approved AI/ML workflows • Implement encryption, role-based access controls, auditability, data minimization, and compliance with VA, FISMA, privacy, records-management, PII, and PHI requirements • Apply Git version control, code reviews, CI/CD, automated testing, documentation, and infrastructure as code • Collaborate with VA stakeholders, claims subject matter experts, architects, developers, and analytics teams • Modernize legacy integrations and improve interoperability, performance, data 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 • 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 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 transformations • Experience with Apache Spark, PySpark, or comparable distributed data-processing technologies • Hands-on experience with cloud data services in AWS, Azure, or comparable cloud environments • Strong 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 principles for sensitive enterprise or federal information • Ability to satisfy VA personnel suitability, applicable Public Trust requirements, and federal security and privacy requirements • Desired: VA/Veterans Benefits experience; VBMS, VA Lighthouse APIs, or comparable systems; modern cloud data platforms; Apache Airflow and event-driven integration; Power BI or Microsoft Power Platform; AI/ML, OCR, NLP, or document processing; legacy modernization; Agile or DevSecOps federal delivery • Relevant cloud, data engineering, or platform certifications are a plus