Data Engineer; Databricks

Job Description

The Databricks Engineer is responsible for designing and delivering scalable data solutions that support enterprise analytics and business operations. This role focuses on backend data engineering, provides technical leadership, and partners closely with stakeholders to support data platform modernization. In this role, you’ll work hands–on building and optimizing data pipelines in Azure and Databricks, collaborate with business and technical partners to design modern data solutions, review code and architecture, support platform modernization initiatives, and act as a technical resource for the broader data engineering team.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 5+ years of data engineering or related experience
• Strong experience with Azure data services, including:
  • Azure Data Factory (ADF)
  • Azure Data Lake (ADLS)
  • Databricks
  • DBT / Airflow (or similar orchestration tools)
• Proficiency in Python (Java or Scala acceptable)
• Expert‑level SQL, including performance tuning and data modeling
• Experience designing enterprise databases (Microsoft SQL Server)
• Experience with ETL/ELT, APIs (REST/JSON), and version control (Git)
• Ability to write scalable, reusable, and maintainable code