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

What you'll bring 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

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