Data Engineer

Syntasa UKHerndon, VA
86d

About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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

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.
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