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Data Engineer databricks
Job in
Mountain View, Santa Clara County, California, 94041, USA
Listed on 2026-06-01
Listing for:
3B Staffing
Full Time, Part Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
New REQ ... Mid-Level Data Engineer (AWS, Databricks, debugging)
*** Requirements for ALL Databricks Candidate submittals
- Title:
Mid-Level Data Engineer (AWS, Databricks, debugging, pipelines) - Location: 100% remote living in PST or CST time zone (if you find someone willing to go onsite, hybrid 2 days per week, in Mountain View, CA, they will get interviewed first and most likely hired! )
- US Citizen, Green Card or H4 EAD
- .....
MUST HAVE'S......."Please have these on the resume under the companies, not just the summary" - Must have 6+ years of experience (
current experience
) in Debugging, performing root cause analysis (Assembling large, complex datasets and help make critical datasets and pipelines scalable
, reliable, efficient,
automating manual processes. - (
current experience
) Cloud infrastructure background with AWS and back-end domains SCALA experience - Current experience in SQL (optimize data sets), Python, data pipelines, data visualization, and distributed systems
- Experience with cloud infrastructure (
AWS,),
Scala back-end, and cost analytics - Experience with Databricks tools is a big plus!!!
About the Role
We are looking for experienced contract data/software engineer contractors to support the Multi-Cloud Efficiency (MCE) team in scaling cost attribution infrastructure and improving financial visibility across our cloud platforms. This role focuses on high-importance engineering tasks that serve internal partners like TPMs, Finance, and Infra. Open to remote with the ability to work with PST time zone.
What You'll Work On
Assembling large, complex sets of data and help make critical datasets and pipelines scalable, reliable, efficient, automating manual processes.
Debugging and resolving cost attribution across compute, storage, and services, Implementing and modifying cost re-attribution logic to improve accuracy and flexibility
Writing robust logic and data validation for regression detection in cost and efficiency datasets, land immediate impact
Contributing to internal tooling and automation to reduce operational toil
Build cost and efficiency visualizations usable by wide audience, landing immediate impact on a critical cost visibility platform used by engineering, finance, and leadership
Be motivated to drive end outcome, and ready to jump in where there is critical business need
Work with a highly technical and supportive team on well-scoped problems
Flexible work setup with potential for repeat engagements or full-time conversion
What We're Looking For
Experience with Databricks tools is a big plus!!!
Proficiency in SQL, Python, data pipelines, data vizualization, and distributed systems
Strong debugging and problem-solving skills
, especially in ambiguous or operational settings
Ability to build and optimize data sets, data pipelines and architectures
Ability to debug and perform root cause analysis on data to identify opportunities for improvement and answer questions
Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
Experience with cloud infrastructure (AWS), Scala, and cost analytics
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