🛠 Tech Stack

💼 About This Role

You'll build scalable data and ML infrastructure for national defense missions. You'll implement medallion architecture using Databricks and automate data pipelines. This role offers the chance to work on cutting-edge AI/ML pipelines in a high-impact environment.

🎯 What You'll Do

• Design medallion architecture using Databricks for data processing and ML training
• Develop automated data pipelines for structured and unstructured data
• Implement MLOps best practices with MLflow and Databricks workflows
• Create integration points between ML systems and BI platforms

📋 Requirements

• 5+ years technical experience with 3+ years building production data pipelines
• Strong data engineering skills in Python, PySpark, and Spark SQL
• Production ML systems experience including model deployment and MLOps
• Experience integrating with Qlik, Tableau, PowerBI, or Palantir

✨ Nice to Have

• Deep expertise in distributed computing with Databricks and Apache Spark
• Advanced MLOps knowledge including automated retraining and model versioning
• Experience with Advana / MAVEN Smart Systems (Palantir Foundry)

🚩 Heads Up

• Requires Top Secret clearance with no mention of sponsorship
• Role mixes data engineering and MLOps, possibly broad scope