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# Data Engineer II

- **Company:** Kforce Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Systems, Software Design Documents, Python (Programming Language), Software Tools, Sql Optimization, Data Strategy, Git, Databricks
- **Published:** September 25, 2026
- **Apply:** https://www.dice.com/job-detail/f2f4fb6a-22b3-4e5e-9ad7-d67e602443c6

## About the Role

* 4-8 years in analytics engineering, data engineering, or an adjacent data role
 * 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
 * Demonstrated ability to turn an under-specified request into a clear, buildable requirement

Preferred:

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

## Description

A client with Kforce is seeking a Data Engineer II to join their team in Mountain View, CA., We are looking for creative problem solvers with a passion for tackling tough customer problems involving data to serve as a Data Enablement Engineer, taking data initiatives from the question behind them through to a designed, proven solution other teams can build on. If you're passionate about large initiatives at a scale that helps transform the lives of internal and external stakeholders, this is that kind of work., * 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, * 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


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