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Senior Data Engineer

AnthroAlameda, CA

$120,000 - $160,000 / year


Overview

Schedule
Full-time
Education
Engineering (PE)
Career level
Senior-level
Remote
On-site
Compensation
$120,000-$160,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

We’re hiring a Data Engineer to help build and scale our data backbone. This will be a high impact position on the Anthro Data Team, with significant ownership across pipelines, modeling, and cloud infrastructure. 

Our data spans lab characterization equipment, high-volume manufacturing systems, thousands of battery cycler channels, and business software. Your day to day will include:

  • Design and build production-grade ELT pipelines for lab and manufacturing data 
  • Architect secure, reliable data movement between on-prem systems and AWS 
  • Develop well-structured, performant warehouse data models for analytics and ML 
  • Write, test, and optimize complex SQL used in production dashboards and workflows 
  • Deploy and manage AWS infrastructure using infrastructure-as-code 
  • Implement monitoring, data quality checks, and system observability 
  • Partner closely with scientists and engineers to translate real-world workflows into reliable data systems 

Requirements

  • Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline 
  • 3-5+ years of data engineering experience 
  • Strong Python — able to write clean, modular, well-tested, production-ready code 
  • Advanced SQL — comfortable designing schemas, reading query plans, and tuning performance at scale 
  • Experience with data modeling and query optimization in a cloud data warehouse 
  • Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform, CDK, CloudFormation) 
  • Strong software engineering fundamentals (version control/Git, testing, CI/CD) 
  • Ability to operate independently and own data systems end-to-end 

Nice to Have:  

  • Experience with manufacturing or industrial data 
  • Scientific background or familiarity with lab-based research 
  • AWS and/or ClickHouse-specific experience 
  • Experience supporting AI/ML data pipelines 

Benefits

  • Competitive salary and equity compensation commensurate with experience. Expected salary range for posted level is $120-160k
  • 15 Vacation Days, 10+ Holidays, Sick time off
  • Full medical, dental, and vision coverage for team members, 60% coverage for dependents
  • 401k with match
  • Paid parental leave with flexible return-to-work policy
  • Diverse and inclusive work environment

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FAQs About Senior Data Engineer Jobs at Anthro

What is the work location for this position at Anthro?
This job at Anthro is located in Alameda, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Anthro?
Candidates can expect a pay range of $120,000 and $160,000 per year.
What employment applies to this position at Anthro?
Anthro lists this role as a Full-time position.
What experience level is required for this role at Anthro?
Anthro is looking for a candidate with "Senior-level" experience level.
What education level is required for this job?
The education requirement for this position is Engineering (PE). Candidates with relevant qualifications or equivalent experience may also be considered.
What benefits are offered by Anthro for this role?
Anthro offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Family/Dependent Health, Paid Holidays, Paid Vacation, Paid Sick Leave, Parental and Family Leave, 401k Matching/Retirement Savings, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Anthro?
You can apply for this role at Anthro either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.