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