ANALYTICAL Data Engineer with Databricks, SQL, and AI

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 

 Responsibilities
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
Skills: 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
How you will contribute
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.
Preferred qualifications
Experience establishing data quality, observability, or data contract practices
Experience building AI skills, agents, or workflow automation
Python proficiency