Senior Data Engineer

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