Data Engineer - Databricks

At MetaPhase, we believe Quirky is Cool and being authentic is the only way to be! We take the work we do very seriously and do a lot of important mission-focused work for our clients. We are individuals with different passions and strengths who take as much joy in the work we do as from those we work with. Today, we have a team that is invested in creating new solutions that lean forward, challenge the status quo, but also reflect our intimate knowledge of our customers’ business. Over the years we have fostered a culture in which we are united by shared values—passion, solidarity, generosity, curiosity, and boldness—and these come alive in the work we do and how we do it.

• Bachelor’s degree in a technical discipline and three or more years of relevant experience in data engineering, software engineering, analytics engineering, or a related field.

• Demonstrated proficiency in Python and SQL, with experience developing, debugging, and maintaining ETL/ELT processes and data-processing code.

• One or more years of hands-on experience with Databricks, Apache Spark, or a comparable cloud data-engineering platform.

• Experience working with structured and/or unstructured data sources, data validation, source-to-target mapping, and production-support activities.

• Databricks Certified Data Engineer Associate certification preferred; candidates without the certification must be willing to obtain it within three months of start date.

• Ability to obtain a U.S. Public Trust suitability determination.

• U.S. Citizenship Required(Clearance / Citizenship Requirements).

• Experience with Databricks capabilities such as Delta Lake, Auto Loader, Databricks SQL, Lakeflow Jobs, Unity Catalog, or streaming data pipelines.
• Familiarity with Git-based version control, code reviews, automated testing, CI/CD, and Agile delivery practices.
• Experience supporting data governance activities, including metadata documentation, data-quality checks, lineage, and access-control implementation.
• Experience with AWS, Azure, or Google Cloud data services and cloud-based integrations.
• Experience supporting regulated, public-sector, or security-sensitive data environments.
• Additional Databricks certifications (e.g., Databricks Machine Learning Engineer Associate or Professional, Databricks Generative AI Engineer Associate)

Work Location