
Mid-Level Data Engineer, Databricks
Posted 18 hours ago

Posted 18 hours ago
This is a fully remote position, open to applicants in Maryland.
• Develop, test, and maintain data pipelines in Databricks utilizing Python, PySpark, and SQL.
• Transfer data from source systems into structured, reusable tables.
• Ensure data integrity by validating it against its sources, identifying discrepancies, and resolving quality issues before they impact reporting.
• Create documentation for pipelines, table definitions, and business rules.
• Take responsibility for assigned tasks from inception through delivery and ongoing production support.
• Proactively communicate risks and obstacles, keeping the team updated on progress.
• Collaborate with stakeholders and senior engineers to clarify project requirements.
• Adapt to new tools as project demands evolve.
• Provide dependable datasets for analytics, reporting, and automation for a federal government client.
• A bachelor's degree in computer science, data science, information systems, engineering, or a related discipline, or equivalent professional experience.
• A minimum of 5 years in data engineering, data analysis, or a comparable technical role.
• Practical experience in building pipelines within Databricks, including notebooks, PySpark or Spark SQL, and Delta tables.
• Strong skills in Python and SQL.
• Knowledge of ETL/ELT processes, data modeling, and data quality best practices.
• U.S. citizenship is mandatory.
• Must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access.
• Experience with data ingestion via APIs is a plus.
• Familiarity with Unity Catalog, Databricks Jobs or Workflows, and CI/CD deployment is advantageous.
• Experience with Google Cloud Platform is a plus.
• Previous experience supporting a federal client is a plus.
• Comprehensive Health, Dental, & Vision Insurance.
• Short-Term Disability & Life Insurance.
• Matching 401(k) Contributions.
• Paid Time Off including 11 Holidays and your Birthday.
• Professional Development opportunities.
• Fitness Membership.
• Home Office allocations.
• Performance Bonuses & Profit Sharing.
• Employee Referral Bonuses.
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