Senior Data Engineer – Java, AWS, Spark | Advanced Analytics Platform

Senior Data Engineer – Java, AWS, Spark | Advanced Analytics Platform Location: Huntsville, AL (On-site) Clearance Required: Top Secret (TS) About the Role: Are you a data engineering powerhouse with a passion for transforming massive datasets into actionable intelligence? We’re looking for a Senior Data Engineer to support the development of a next-generation visual analytics platform in Huntsville—designed to help analysts uncover insight at scale. This is your chance to work with cutting-edge tools like Apache Spark, AWS, Docker, and Python to deliver real-time and high-performance solutions for structured and semi-structured data. You’ll lead the design and development of ETL pipelines, manage data architecture for relational and non-relational systems, and collaborate with full-stack and cloud engineers to drive mission-focused outcomes through data. Key Responsibilities: Architect and develop ETL workflows and data pipelines using tools like Spark, Java, and Python Design scalable strategies for enterprise database systems and lead integration of structured/semi-structured data Build backend capabilities for web and desktop-based visual analytic software Work with open source, COTS, and GOTS technologies to support advanced visualization and bulk data processing Optimize data storage, retrieval, and transformation within Linux, AWS, and Dockerized environments Use Git, Maven, and CI/CD best practices for code management and automated deployment Integrate new data systems into an existing warehouse architecture and refine performance for analytics-at-scale Support security, reliability, and performance standards across the data ecosystem What You Bring: 8+ years of data engineering or software development experience Strong proficiency with Java, AWS, Python, and Apache Spark Deep understanding of Linux-based development, Git, Maven, and Docker Proven ETL/data integration experience at the enterprise level Experience designing and managing large-scale relational databases A collaborative mindset and experience working in Agile or DevSecOps environments Nice to Have: Experience with Databricks or Scala Familiarity with high-performance computing and visual analytics systems Exposure to data security best practices in government or defense applications Why Join Us? Lead the charge in building an advanced intelligence platform Work with a team that values technical depth, collaboration, and mission focus Grow your skills in cloud-native data engineering and analytics Competitive salary, clearance bonus opportunities, and long-term stability Ready to design data systems that fuel real-world insights? Apply now and help drive innovation through data in Huntsville. Job Type: Full-time Pay: $145,000.00 - $175,000.00 per year Benefits: 401(k) Health insurance Schedule: Monday to Friday Work Location: In person