Required

• Ability to hold a position of public trust with the US government. 
• 2-4 years industry experience coding commercial software and a passion for solving complex problems.  
• 2-4 years direct experience in Data Engineering with experience in tools such as: 
  • Big data tools: Databricks, Apache Spark, Delta Lake, etc. 
  • Relational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL). 
  • Data pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc. 
  • AWS cloud services: Databricks on AWS, S3, EC2, RDS (or Azure equivalents). 
  • Object-oriented/object function scripting languages: PySpark/Python, Java, C , Scala, etc. 
  • Experience working with Data Lakehouse architecture and Delta Lake/Apache Iceberg.
• Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases. 
• Experience manipulating, processing, and extracting value from large, disconnected datasets. 
• Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks. 
• Experience manipulating structured and unstructured data. 
• Experience architecting data systems (transactional and warehouses). 
• Experience the SDLC, CI/CD, and operating in dev/test/prod environments. 
• Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus. 
• Commitment to data governance. 
• Experience working in an Agile environment. 
• Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.