Senior Data Engineer

TeamWorx Security, Inc.•Columbia, MD

10d•Remote

About The Position

TeamWorx Security is seeking a Senior Data Engineer to design, build, and maintain enterprise data platforms and pipelines for a federal government client. The Senior Data Engineer will work with technical teams, program leadership, and government stakeholders to integrate complex data sources, improve data quality, and deliver secure, scalable data products that support analytics, automation, artificial intelligence, and operational decision-making. This position requires a versatile engineer who is comfortable working across technologies and adapting to different customer needs. The ideal candidate brings strong data engineering fundamentals, hands-on experience delivering production solutions in an enterprise Databricks environment, and familiarity with Google Cloud Platform. Success in this role requires initiative, ownership, and clear communication. The Senior Data Engineer is expected to work through ambiguity, identify needs or risks before they become problems, and move assignments forward without waiting for detailed direction. This person must communicate progress, decisions, and obstacles clearly while remaining accountable for work through delivery and ongoing support.

Requirements

Bachelor’s degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience.
12 or more years of relevant data engineering, software engineering, data architecture, or technical delivery experience.
Master's degree and 10 years of experience also considered
Demonstrated hands-on experience delivering production data engineering solutions in an enterprise Databricks environment, including data pipelines and orchestration, Delta Lake, Unity Catalog, CI/CD and deployment, and enterprise security and governance practices.
Experience across a range of data engineering technologies, which may include GCP, BigQuery, Python, SQL, JavaScript, Google Apps Script, APIs, cloud platforms, databases, and visualization tools.
Understanding of data modeling, ETL/ELT, data quality, governance, security, and production support.
Strong problem-solving, documentation, communication, and teamwork skills.
Curiosity and willingness to learn new platforms, tools, and technical approaches as project needs change.

Responsibilities

Design, build, deploy, and support production data pipelines and enterprise data solutions using Databricks, Google Cloud Platform, BigQuery, Python, SQL, and related technologies.
Develop enterprise data models and layered data architectures that transform information from multiple source systems into reliable, reusable data products for analytics, applications, reporting, automation, and AI/ML.
Extract, transform, validate, and analyze data from multiple sources to support reporting, business intelligence, AI, and operational decision-making.
Ensure data quality, security, governance, traceability, and compliance throughout the data lifecycle.
Work with technical teams and federal stakeholders to define requirements, evaluate options, document solutions, and resolve technical issues.
Evaluate and apply new technologies based on customer needs while supporting testing, deployment, production operations, and continued improvement.