Data Engineer

Overview As a Data Engineer at Altamira, you will support national security initiatives by building and maintaining data workflows and tooling. You’ll work with cross-functional teams to enable secure data access and actionable insights across the Embedded Support Division. You will shape the data pipeline and automation landscape, influencing engineering practices and feature adoption. This hybrid on-site/remote role puts you at the center of modern data platforms and DevSecOps in a high-stakes environment. Compensation / Benefitshybrid on-site/remote work ResponsibilitiesTroubleshoot access control issues and resolve missing Python library problemsDevelop and maintain Databricks notebooks and workflowsCollect and analyze project activity data via Databricks, GitLab, and Confluence APIs across the lifecycleAssist ESD leadership with research evaluation and implementation of new features/toolsIntegrate JIRA and GitLab to improve project visibility; explore GitLab deployment on SIPR WDP for higher classification levelsManage Central team's GitLab repository; establish standards for merge requests and code reviewsSet up and maintain integrations between GitLab and Databricks to enable a CI pipeline Key requirementsGitLab repository management, merge requests, and code reviewsDatabricks proficiency; notebooks and workflowsStrong DevSecOps understandingFamiliarity with Jira and Confluence for PM and documentationAPI development/integration skills (Databricks, GitLab, Confluence)Advanced Python programmingTroubleshooting access controls and Python library issuesExperience collaborating with cross-functional technical teamscross-functional collaborationproblem-solvingproactive communicationDatabricksGitLabConfluence