Mid-Level Data Engineer, Databricks

TeamWorx Security, Inc.•Columbia, MD

3d•Remote

About The Position

TeamWorx Security is seeking a Mid-Level Data Engineer to build and maintain data pipelines and data products for a federal government client. The role works alongside senior engineers, data scientists, and government stakeholders to ingest data from source systems, clean and validate it, and deliver reliable datasets for analytics, reporting, and automation. Work spans multiple business lines, and priorities may shift as teams’ needs change. The position is suited to an engineer with solid fundamentals and hands-on Databricks experience who wants to grow by working across new business areas and technologies. The role is fully remote within the United States. U.S. citizenship is required, and the candidate must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access. TeamWorx Security describes itself as a Maryland startup that is quickly growing. Its team includes data scientists, software engineers, researchers, product developers, and operations-minded professionals. The company’s mission is to reinvent how technical and non-technical people work with technology through harmonious, automated solutions that improve customers’ daily workflows. Its stated core values are putting employees first, being curious, being authentic, being scrappy, and honoring those it serves. Benefits include comprehensive health, dental, and vision insurance; short-term disability and life insurance; matching 401(k) contributions; paid time off, including 11 holidays and the employee’s birthday; professional development; fitness membership; home office allocations; performance bonuses and profit sharing; and employee referral bonuses. The company also emphasizes working with teammates to support their professional goals and potential.

Requirements

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 Python and SQL.
Understanding of ETL/ELT, data modeling, and data quality practices.
U.S. citizenship.
Eligibility to obtain and maintain federal suitability, a government-issued PIV credential, and required system access.

Nice To Haves

Experience ingesting data through APIs.
Experience with Unity Catalog, Databricks Jobs or Workflows, and CI/CD deployment.
Experience with Google Cloud Platform.
Experience supporting a federal client.

Responsibilities

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, investigate discrepancies, and resolve quality issues before they reach reporting.
Document pipelines, table definitions, and business rules so engineers and analysts can use and maintain them.
Take ownership of assigned work through delivery and production support, raise risks and blockers early, and keep the team informed of progress.
Work with stakeholders and senior engineers to clarify requirements and adopt new tools as project needs change.