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Anthro

Senior Data Engineer

Anthro Alameda, California, United States · $120–$160/yr

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

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

The Senior Data Engineer will design and build production-grade ELT pipelines while architecting secure data movement between on-prem systems and AWS. They will also develop performant data models and manage cloud infrastructure to support analytics and machine learning workflows.

What they look for

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

Requirements

Candidates must have a bachelor's degree in a technical or scientific field and 3-5+ years of data engineering experience. Proficiency in Python, advanced SQL, and cloud infrastructure management is required for this role.

Benefits

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

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 
  • 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 
  • 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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