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Mid-Level Python Data Engineer + TS​/SCI-FS Poly Security Clearance

Job in Herndon, Fairfax County, Virginia, 20171, USA
Listing for: SYSTOLIC
Full Time position
Listed on 2026-07-16
Job specializations:
  • Software Development
    Data Engineering, AWS, Python
Salary/Wage Range or Industry Benchmark: 320000 USD Yearly USD 320000.00 YEAR
Job Description & How to Apply Below
Position: Mid-Level Python Data Engineer [$320k/yr+] TS/SCI-FS Poly with Security Clearance
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.

Summary:

• Build complex data flows, production data pipelines, and ETL workflows.
• Develop with Python, Java, SQL, and Bash scripting.
• Utilize orchestration tools for Apache Spark jobs, containerize applications with Docker in AWS environments.
• Manage MySQL, PostgreSQL, and DynamoDB databases.
• Implement code control with Git and Infrastructure as Code with Terraform.
• Integrate AI/ML services and work with Apache Iceberg and Trino.
• Understand data requirements and contribute to documentation. Qualifications & Compensation:
• Degree:
Technical bachelor's degree or equivalent experience
• Years of experience: 8+ years
• Total Compensation: $320k+ yearly (tentative)

Job Description:

• Work with a small team to build complex data flows for custom applications.
• Build end-to-end data pipelines leveraging advanced Python programming skills.
• Utilize orchestration tools to deploy and manage data pipelines, including configuring and updating Spark Jobs.
• Containerize and deploy applications in cloud environments like AWS.
• Manage and optimize databases such as MySQL and PostgreSQL, including performance tuning, schema design, and query optimization for complex, analytical workloads.
• Leverage industry standard tools for code control (Git, IaaC control) and Infrastructure as Code (Terraform).
• Work with data catalogs, track data lineage, and handle various data formats, including Geospatial.
• Employ Bash scripting for automation and data processing tasks.
• Integrate AI/ML services and models.
• Collaborate with stakeholders to understand data requirements, assess feasibility, and design solutions with minimal oversight.
• Apply strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks.
• Contribute to data engineering documentation, best practices, and design patterns.
• Familiarity with Java, DynamoDB, Apache Iceberg, and Trino is beneficial. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at  To learn about our compensation ranges, visit our Pay Transparency page at:
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