Senior Data Engineer

Build and scale the data backbone for Anthro’s Data Team. This Senior Data Engineer role is based in Alameda, CA (onsite) and focuses on production systems that turn lab and manufacturing work into reliable analytics and ML-ready data.

You will have ownership across the full pipeline: ELT development, data modeling, AWS cloud infrastructure, monitoring, and data quality. The work is closely paired with scientists and engineers to translate real-world workflows into trustworthy data systems.

What you’ll do

• Design and build production-grade ELT pipelines for lab and manufacturing data
• Architect secure, reliable data movement between on-prem systems and AWS
• Create warehouse data models that support analytics and machine learning
• Write, test, and optimize complex SQL for production dashboards and workflows
• Deploy and manage cloud systems using infrastructure-as-code
• Implement monitoring, data quality checks, and observability for data pipelines
• Collaborate with scientists and engineers to convert workflows into dependable data infrastructure

What you bring

• Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline
• 2-4+ years of data engineering experience
• Strong Python: clean, modular, well-tested, production-ready code
• Advanced SQL: schema design, query plan reading, and performance tuning 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 tools (Terraform, CDK, CloudFormation)
• Strong software engineering foundations: Git/version control, testing, and CI/CD
• Ability to operate independently and own data systems end-to-end

Tools you’ll work with

• ELT, Python, SQL
• AWS, GCP, Azure
• Terraform, CDK, CloudFormation
• Git, CI/CD, ClickHouse

Compensation & benefits

• Salary: USD 116,000 - 145,000 per year
• Equity: compensation includes equity and is commensurate with experience
• Time off: 15 Vacation Days, 10+ Holidays, and sick time off
• Healthcare: full medical, dental, and vision coverage for team members; 60% coverage for dependents
• 401(k) with match
• Paid parental leave with a flexible return-to-work policy
• Diversity and inclusion focused work environment

Nice to have

• Experience with manufacturing or industrial data
• Scientific background or familiarity with lab-based research
• Experience building data software with Golang
• AWS and/or ClickHouse-specific experience
• Experience supporting AI/ML data pipelines