Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python)

What you'll do

• Develop and maintain scalable ETL/ELT pipelines, curated data layers, and reusable transformation frameworks.
• Build and support Databricks notebooks, dashboards, APIs, and data-driven applications; optimize their performance, reliability, and security.
• Own production operations, including monitoring, troubleshooting, data quality, and collaboration with analytics, AI/ML, platform, and application teams.

What they ask for

• 5+ years of hands-on data engineering experience owning production-grade pipelines and data solutions.
• Strong proficiency in Python, Apache Spark (PySpark), SQL, and data transformation.
• Production Databricks experience, including application development and support of notebooks, dashboards, and data-driven applications.
• Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field with 5+ years of IT-related work experience; OR 7+ years of IT-related work experience without a Bachelor's degree. Also requires 3+ years in programming, SQL or NoSQL databases, and data structures and algorithms.

Nice to have

• Experience with AWS cloud services; exposure to Unity Catalog and governed data sharing.
• Streaming pipeline experience, familiarity with CI/CD and Git-based workflows, or experience enabling BI, AI/ML, or embedded analytics using Databricks.

Pay

$130,000.00 - $195,000.00 (base salary)

Tools

Databricks, Python, Apache Spark, PySpark, SQL, AWS, S3, IAM

AI focus

Builds data pipelines and applications supporting AI/ML use cases, partners with AI teams, and evaluates Databricks GenAI capabilities.