Data Engineer

🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $120k - $146k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Systems Planning & Analysis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📦 Logistics

🏥 Healthcare

💼 Consulting

Logistics • Healthcare • Consulting

Systems Planning & Analysis is dedicated to enhancing national security through innovative data-driven analysis and technical engineering services. With a rich history of over 50 years, SPA addresses complex challenges faced by government clients, particularly in defense intelligence and homeland security. The company excels in areas such as AI/ML and decision analytics, systems engineering, and modeling and simulation, providing vital support for national security programs across multiple domains.

📋 Description

• Design, develop, and maintain scalable, production-ready data pipelines using Spark, Python, and SQL in a Databricks environment • Integrate and transform diverse health, financial, and operational datasets into reliable, reusable data products • Develop data models and analytics datasets supporting enterprise reporting and operational decision-making • Build and maintain API-based integrations for ingesting and exchanging data across systems • Monitor, troubleshoot, and optimize scheduled workflows and production pipelines for performance, reliability, and scalability • Implement data validation, quality checks, lineage, and governance practices to improve trust in data products • Contribute to automated testing, code reviews, technical documentation, and reusable engineering patterns • Collaborate with engineers, architects, analysts, and customer stakeholders to translate data needs into practical technical solutions • Support the Defense Health Agency Chief Data and Analytics Office in building an enterprise data orchestration layer for the Military Health System

🎯 Requirements

• Active Secret clearance • Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field • 3 to 10 years of data engineering, software engineering, or related technical experience • Strong proficiency with Python and SQL • Experience with Apache Spark or similar distributed data-processing frameworks • Experience working with Databricks or a similar modern data platform • Experience building and maintaining production data pipelines and ETL/ELT processes • Working knowledge of data modeling and transforming raw data into reusable analytics datasets or data products • Experience integrating or consuming data through REST APIs • Experience troubleshooting and optimizing data pipelines for performance and reliability • Familiarity with data validation, quality, governance, security, privacy, and compliance considerations • Experience with Git-based development workflows and modern software engineering practices • Comfort working in terminal and command-line environments • Experience using AI-assisted development tools to accelerate routine engineering tasks, testing, documentation, and debugging • Strong communication skills and experience working with customers or stakeholders to understand and resolve data needs • Ability to navigate ambiguity, learn unfamiliar systems, and independently drive assigned work toward resolution • AWS cloud experience (desired) • Experience working with very large datasets, including datasets containing billions of records (desired) • Experience with Palantir Foundry (desired) • Experience with Advana or similar DoW data environments (desired) • Experience with GitLab, CI/CD pipelines, or automated deployment workflows (desired) • Experience working with federal health, financial, or other regulated and sensitive data (desired)

🏖️ Benefits

• Competitive base pay • Variable compensation opportunities • Health insurance • Flexible spending accounts • Health savings accounts • Retirement savings plans • Life and disability insurance programs • Paid and unpaid time away from work