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Data Engineer II

Russell, Tobin & AssociatesMountain View, CA🇺🇸United StatesPosted Oct 1, 2026

Quick Overview

Salary
$60 - $65/hr
Seniority
Mid Senior
Work mode
Remote
Location
Mountain View, CA, United States
Posted
Yesterday
SQLDatabricksGitPython

Job Description

Our client, a Fintech Company, is seeking a “Data Engineer II”.
Apply Now for consideration!!
Job Title: Data Engineer II
Location: Mountain View, CA – 100% Remote (PST hours)
Contract: 6 Months, extendable
Rate Range: $60 - $65/hr on W2 DOE
**Hands-on Databricks and advanced SQL, able to profile unfamiliar tables and validate grain and joins independently; Git and Python a plus
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
 
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
 
Preferred qualifications:
  • Experience establishing data quality, observability, or data contract practices
  • Experience building AI skills, agents, or workflow automation
  • Python proficiency
 
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