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:<ul><li>Design and build production-grade ELT pipelines for lab and manufacturing data </li></ul><ul><li>Architect secure, reliable data movement between on-prem systems and AWS </li></ul><ul><li>Develop well-structured, performant warehouse data models for analytics and ML </li></ul><ul><li>Write, test, and optimize complex SQL used in production dashboards and workflows </li></ul><ul><li>Deploy and manage AWS infrastructure using infrastructure-as-code </li></ul><ul><li>Implement monitoring, data quality checks, and system observability </li></ul><ul><li>Partner closely with scientists and engineers to translate real-world workflows into reliable data systems </li></ul>Requirements<ul><li>Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline </li></ul><ul><li>3-5+ years of data engineering experience </li></ul><ul><li>Strong Python — able to write clean, modular, well-tested, production-ready code </li></ul><ul><li>Advanced SQL — comfortable designing schemas, reading query plans, and tuning performance at scale </li></ul><ul><li>Experience with data modeling and query optimization in a cloud data warehouse </li></ul><ul><li>Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform, CDK, CloudFormation) </li></ul><ul><li>Strong software engineering fundamentals (version control/Git, testing, CI/CD) </li></ul><ul><li>Ability to operate independently and own data systems end-to-end </li></ul>Nice to Have:  <ul><li>Experience with manufacturing or industrial data </li></ul><ul><li>Scientific background or familiarity with lab-based research </li><li>AWS and/or ClickHouse-specific experience </li></ul><ul><li>Experience supporting AI/ML data pipelines </li></ul>Benefits<ul><li>Competitive salary and equity compensation commensurate with experience. Expected salary range for posted level is $120-160k</li></ul><ul><li>15 Vacation Days, 10+ Holidays, Sick time off</li><li>Full medical, dental, and vision coverage for team members, 60% coverage for dependents</li><li>401k with match</li><li>Paid parental leave with flexible return-to-work policy</li><li>Diverse and inclusive work environment</li></ul>

Anthro is reimagining the future of energy storage. We are an advanced materials company developing solutions to some of the biggest problems facing the battery-dependent electrified future. Spun out of Stanford University, we&rsquo;ve created high-performance batteries with structural integrity and total safety.
Today, our customers use our flexible batteries to create advanced wearable electronics and medical devices with unprecedented functionality. Tomorrow, our ruggedized batteries will safely enable an electrified future. Anthro is proudly supported by world-class investors and a wide range of government grants. We are a group of pioneers, reimagining batteries to create a smarter, cleaner tomorrow.

Senior Data Engineer

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Anthro

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