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