Data Engineer
Syntasa is hiring a cleared Data Engineer to design scalable data pipelines, optimize Spark workloads, and deliver high-performance cloud solutions. You’ll be working across all major cloud providers to build cost-efficient, production-ready systems that power advanced analytics and AI initiatives.
Key Responsibilities
• Optimize large-scale data pipelines for ingestion, transformation, and processing.
• Develop robust, reusable code in Python and Spark to support distributed data workflows.
• Manage and tune Spark jobs on cloud-based platforms with Kubernetes orchestration.
• Implement scalable data solutions for storage and retrieval.
• Drive reliability, performance, and cost efficiency across cloud infrastructure.
Required Skills
• Strong Python experience
• Experience with automation of job monitoring, optimization, and debugging at scale
• Experience working with any of the major cloud providers
• Excellent communication skills with the ability to work in cross-functional teams
• TS/SCI w/CI Poly preferred
Desired Skills
• Apache Spark
• Background in building and maintaining CI/CD pipelines
• Knowledge of Kubernetes and containerization
• Experience building dashboards
• Using notebook-based tools such as Jupyter and Databricks
• Knowledge of Scala, SQL and R
Cleared Secret but TS/SCI w/CI Poly preferred
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