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Anthro Verified
HR Tech, SaaS, Artificial Intelligence, Workforce Management, Software

Senior Data Engineer

Alameda, CAOnsiteFull TimeSenior$120,000–$160,000 /yrPosted 4 days ago

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Required skills

  • ELT pipelines
  • data modeling
  • cloud infrastructure
  • Python
  • SQL
  • cloud data warehouse
  • AWS
  • GCP
  • Azure
  • Terraform

Nice to have

  • manufacturing data
  • industrial data
  • scientific background
  • lab-based research
  • ClickHouse
  • AI/ML data pipelines

Role summary

Anthro Data Team is seeking a Data Engineer to build and scale their data backbone. This high-impact role involves significant ownership of pipelines, modeling, and cloud infrastructure. Responsibilities include designing and building production-grade ELT pipelines, architecting secure data movement between on-prem and AWS, developing performant data models for analytics and ML, writing and optimizing SQL, deploying AWS infrastructure using IaC, and implementing monitoring and data quality checks. The role requires a Bachelor's degree, 4-5+ years of data engineering experience, strong Python and advanced SQL skills, familiarity with cloud platforms and IaC, and solid software engineering fundamentals. Experience with manufacturing data, AI/ML pipelines, or ClickHouse is a plus.

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 
  • 4-5+ 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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