Senior Data Engineer

Anthro • Alameda, CA

20h • $120 - $160

About The Position

The Senior Data Engineer will help build and scale the data backbone for the Anthro Data Team, with significant ownership across pipelines, data modeling, and cloud infrastructure. The data includes lab characterization equipment, high-volume manufacturing systems, thousands of battery cycler channels, and business software. The role partners closely with scientists and engineers to translate real-world workflows into reliable data systems.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a scientific discipline.
• 3–5+ years of data engineering experience.
• Strong Python skills, including writing clean, modular, well-tested, production-ready code.
• Advanced SQL skills, including schema design, reading query plans, and tuning performance at scale.
• Experience with data modeling and query optimization in a cloud data warehouse.
• Familiarity with cloud platforms such as AWS, GCP, or Azure and infrastructure-as-code tools such as Terraform, CDK, or CloudFormation.
• Strong software engineering fundamentals, including version control/Git, testing, and CI/CD.
• Ability to operate independently and own data systems end-to-end.

Nice To Haves

• 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.

Responsibilities

• Design and build production-grade ELT pipelines for lab and manufacturing data.
• Architect secure, reliable data movement between on-premises systems and AWS.
• Develop well-structured, performant warehouse data models for analytics and machine learning.
• 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 with scientists and engineers to translate real-world workflows into reliable data systems.
• Own data systems end-to-end and operate independently.

Benefits

• Competitive salary and equity compensation commensurate with experience; expected salary range is $120,000–$160,000.
• 15 vacation days, 10+ holidays, and sick time off.
• Full medical, dental, and vision coverage for team members, with 60% coverage for dependents.
• 401(k) with match.
• Paid parental leave with a flexible return-to-work policy.
• Diverse and inclusive work environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior