Data Platform Engineer

Role overview Build and maintain data engineering workflows that help technical teams track project activity and improve their development environment. The role combines hands-on Databricks and repository work, API integrations, troubleshooting, and guidance on tools and engineering practices.

Responsibilities - Develop and maintain Databricks notebooks and workflows used to review engineering activity. - Use APIs to gather and analyze project data across development, deployment, and ongoing use. - Troubleshoot access-control problems and missing Python dependencies. - Manage a shared GitLab repository, including setting expectations for merge requests and code reviews. - Build and maintain GitLab and Databricks integrations to support a foundational CI pipeline. - Evaluate tools and features, and improve visibility across project tracking and code repositories.

Requirements - Experience with GitLab or GitHub repository workflows, including merge requests and code reviews. - Databricks experience developing and maintaining notebooks or workflows. - Python programming skills and some experience building or integrating APIs. - Ability to investigate permissions and dependency issues. - Experience working with cross-functional technical teams. - Active Secret clearance and willingness to pursue TS/SCI clearance.

Nice to have - Knowledge of DevSecOps practices. - Familiarity with Jira and Confluence for project tracking and documentation.