Jobs / Nim***
Data Engineer II/III
Nim*** · San Francisco, CA, United States
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San Francisco, CA, United States140,000-200,000 USD/yearlyOnsite
Remuneration
140,000-200,000 USD/yearly
Location
San Francisco, CA, United States
Visa sponsorship
Sponsors visa
Job summary
About Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We’re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain.
Benefits
Unlimited Flexible Time OffEnjoy the time you need to travel, rejuvenate, and connect with friends and famiHealth InsuranceNimble provides medical, dental, and vision insurance through several premier plPaid Parental LeaveEnjoy paid bonding time following a birth.CommuterTake the stress out of commuting with access to fully paid parking spots.Referral BonusGet a cash bonus for any friend or colleagues that you refer to us that we end uContribute towards a 401k for retirement planning.Equity
Qualifications
- Evaluate and adopt modern data engineering
- BS/MS/PhD in Computer Science, Mathematics, Computer Engineering, or a related field, or equivalent practical experience.
- Fast learner with a strong work ethic, high performance standards, and ambition.
- 1-5 years of professional experience
- Proficiency in writing production-grade code in Python and SQL.
- Hands-on experience with one of the following languages: Rust, Go, Java, C#, C++.
- Strong debugging
- Willing to work extended hours and weekends if needed
- This position is based full time in our San Francisco headquarters
- Compensation
- The pay range for this position at the start of employment is expected to be between $140,000 - $200,000/year.
- Your exact offer may vary depending on multiple individualized factors, including job-related knowledge,
Responsibilities
- Design, build, and maintain scalable, reliable data pipelines that support both batch and real-time analytics.
- Develop and optimize ETL/ELT processes to ingest, transform, and integrate data from multiple sources into data warehouses and lakehouse platforms.
- Drive and apply best practices in data modeling, pipeline architecture, query optimization, data quality and data engineering standards.
- Collaborate closely with finance, bizops, and engineering teams to understand data needs and deliver solutions.
- Provide data engineering support to ensure data accessibility and usability company-wide.
- Implement and maintain data governance frameworks to support compliance with internal policies and external regulatory
Degrees
BachelorPhD
Work schedule
OvertimeWeekend
Travel
Travel
Industry
AutomotiveDefenseEnergyInsuranceLogisticsPublic-sector
Company size
Smb
Contract length
5 years