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Anthro

Senior Data Engineer

Anthro Alameda, California, United States · $116K–$145K/yr

Appliances, Electrical, and Electronics Manufacturing · 11-50 employees

7 h ago
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

Design and build production-grade ELT pipelines while architecting secure data movement between on-prem systems and AWS. You will also develop performant warehouse data models and manage infrastructure using infrastructure-as-code.

What they look for

Python SQL Data engineering ELT pipelines Data modeling Cloud infrastructure AWS Infrastructure-as-code Terraform CDK CloudFormation Version control Git CI/CD Data quality System observability

Requirements

Requires a bachelor's degree in CS, Engineering, Mathematics, or a scientific discipline and 2-4+ years of data engineering experience. Candidates must possess strong Python skills, advanced SQL proficiency, and experience with cloud platforms and infrastructure-as-code.

Benefits

Vacation days Holidays Sick time off Medical coverage Dental coverage Vision coverage 401k with match Paid parental leave Equity compensation

Full 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 
  • Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline 
  • 2-4+ 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 
  • Experience building data software with Golang 
  • AWS and/or ClickHouse-specific experience 
  • Experience supporting AI/ML data pipelines 
  • Competitive salary and equity compensation commensurate with experience. Expected salary range for posted level is $116k-145k
  • 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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