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The job in short
Senior data engineering.
PythonSQLAWSAzureGCPTerraformWarehouse
Details
- Found
- 24 d ago · posted 2026-10-03
- Location as listed
- Alameda, California, United States
- Role
- Data Engineer
- Source
- The company’s own careers site
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
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