Teams at TeamWorx Security

Build, test, and support Databricks data pipelines using Python, PySpark, and SQL. Ingest, clean, validate, and transform source data into reusable layered tables for analytics, reporting, and automation. Document pipelines and business rules, resolve data quality issues, support production delivery, and collaborate with stakeholders and senior engineers. The role also involves adapting to new tools and business areas while supporting a federal government client.

Develop, test, deploy, and maintain full-stack applications, automation, integrations, dashboards, and data-driven tools for a federal government client. Collaborate with stakeholders and senior developers to gather requirements, rapidly build solutions, and refine them through user feedback. Work in Agile sprints, support production systems, document code, and troubleshoot issues. The role requires Python, JavaScript, SQL, Google Apps Script, database, API, front-end, and back-end development experience.

Design, build, deploy, and support production data pipelines and enterprise data solutions in Databricks and GCP. Develop data models and layered architectures, ensure data quality, security, and governance, integrate multiple sources, and support analytics, AI/ML, reporting, and operational decision-making while collaborating with technical teams and federal stakeholders.