TeamWorx Security · United States
Skills: Python, SQL, CI/CD
Location: Fully Remote, United States
Position Type: Full-Time
Clearance: U.S. citizenship is required. The candidate must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access.
The Opportunity
TeamWorx Security(https://himalayas.app/companies/teamworx-security) is seeking a Data Engineer to build and maintain data pipelines and data products for a federal government client. The Data Engineer will work alongside senior engineers, data scientists, and government stakeholders to bring data in from source systems, clean and validate it, and deliver reliable datasets for analytics, reporting, and automation. The work spans multiple business lines, so priorities shift as different teams need help.
This role suits an engineer with solid fundamentals and hands-on Databricks experience who wants to grow quickly by working across new business areas and technologies.
What You'll Be Doing
Build, test, and support data pipelines in Databricks using Python, PySpark, and SQL, moving data from source systems into layered, reusable tables. Validate data against its sources, track down discrepancies, and fix quality issues before they reach reporting. Document pipelines, table definitions, and business rules so other engineers and analysts can use and maintain them. Take ownership of assigned work through delivery and production support, raising risks and blockers early and keeping the team informed of progress. Work with stakeholders and senior engineers to clarify requirements and pick up new tools as project needs change.
What We Think You'll Need
Bachelor's degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience. 5 years of data engineering, data analysis, or related technical experience. Hands-on experience building pipelines in Databricks, including notebooks, PySpark or Spark SQL, and Delta tables. Proficiency in Pyth …truncated… , Paid Time Of…
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