Data Engineer - Databricks

Who Are We? Groundswell is a premier technology integrator and solution provider, resolutely committed to solving the most complex challenges facing federal agencies today. Our name, Groundswell , represents our commitment to be an unstoppable, seismic change in government. Ours is a small company culture with big company reach and results. Are you ready to be audacious, be bold and drive change at a rapid pace? Join us, where we’ll make a greater impact together. What You'll do: Groundswell is hiring an experienced Data Engineer to join our team supporting the Department of Transportation (DOT). This customer-facing role combines data engineering and database administration across MariaDB, SQL Server, and Databricks environments. Responsibilities: Design and implement scalable Databricks solutions and ETL/ELT pipelines. Apply Databricks development standards and data engineering best practices. Administer and monitor enterprise MariaDB and SQL Server environments. Design databases, schemas, tables, views, stored procedures, functions, and triggers. Perform database configuration, backup, restoration, performance tuning, and disaster recovery. Optimize SQL queries, indexes, database objects, pipelines, and server performance. Configure and support availability groups, mirroring, clusters, encryption, and reporting servers. Apply best practices for data modeling, relational database design, data warehousing, data quality, and lineage. Implement database security, auditing, user access, roles, permissions, and domain-level accounts. Troubleshoot complex database, application, and data pipeline issues. Collaborate with business stakeholders, infrastructure, network, application, development, and vendor teams. Translate business and technical requirements into secure, scalable data solutions. Deliver technical demonstrations and training and support proposal efforts. Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field. 5+ years of experience in data engineering, database administration, or database development. Demonstrated hands-on Databricks experience. Experience administering SQL Server and/or MariaDB enterprise databases. Advanced SQL skills, including developing and optimizing queries, stored procedures, functions, triggers, tables, and views. Proficiency in Python, Java, or Scala. Experience developing ETL/ELT pipelines using tools such as Apache Airflow, AWS Glue,...

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