Quick overview
Salary$60 - $65/hr
SeniorityMid Senior
Work modeRemote
LocationMountain View, CA, United States
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:
What you'll bring
Preferred qualifications:
#LI-AS18
#RTA
#RTA-ZR
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
#LI-AS18
#RTA
#RTA-ZR
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