Senior Data Engineer

TeamWorx Security is a growing Maryland-based technology company specializing in data science, software engineering, research, product development, and automated solutions for customers, including federal government clients. The Senior Data Engineer will design, build, deploy, and support secure enterprise data platforms and pipelines, integrate complex data sources, and develop reliable data products for analytics, automation, artificial intelligence, and operational decision-making.

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

Requirements:

• 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
• 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