Databricks Engineer

Fintech Company Mountain View CA- HYBRID- Must be local to apply Needed ASAP 6 month contract Must work on W2 Databricks, SQL, and AI Data Analytical Engineer MUST BE ANALYTICAL for this role

• Partner with data science stakeholders to understand the business problem behind a key result, and determine the data needed to answer it
• Translate that into clear requirements and specifications data engineering can build from, and maintain a well-specified backlog
• Design schemas, tables, and data solutions that meet our standards for trusted, well-documented data
• Build proofs of concept, from design documents through to notebooks validated against real data, judging how much prototyping each decision warrants
• Partner with source data owners, and with data engineering through build and UAT
• Advance trusted data foundations - observability, schema monitoring, quality rules, data contracts - and build AI skills and agents that accelerate the team

• 4 8 years in analytics engineering, data engineering, or an adjacent data role
• Demonstrated ability to turn an under-specified request into a clear, buildable requirement
• Experience designing data models and schemas for analytical use
• Hands-on Databricks and advanced SQL, able to profile unfamiliar tables and validate grain and joins independently; Git and Python a plus
• Fluency using AI tools for research and building, and strong cross-team partnerships

Has autonomy to work collaboratively with the leaders in your space to drive initiatives and the overall data strategy. Develops a plan organized into pieces that can be individually owned, uses independent judgment, and communicates progress and trade-offs. Carries cross-team conversations independently, collaborating closely with the hiring manager on requirements and design.

• Experience establishing data quality, observability, or data contract practices
• Experience building AI skills, agents, or workflow automation
• Python proficiency

For applications and inquiries,