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Salary: USD 116,000 - 145,000 / annual
Anthro is hiring a Senior Data Engineer to build and scale the data backbone supporting lab characterization equipment, high-volume manufacturing systems, battery cycler channels, and business software. This is a high-impact role with significant ownership across data pipelines, modeling, and cloud infrastructure.
Day-to-day responsibilities include:
- 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 ML applications
- Write, test, and optimize complex SQL used in production dashboards and workflows
- Deploy and manage AWS infrastructure using infrastructure-as-code tools
- Implement monitoring, data quality checks, and system observability
- Partner closely with scientists and engineers to translate real-world workflows into reliable data systems
You will operate independently and own data systems end-to-end, working at the intersection of manufacturing, scientific research, and data engineering.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a scientific discipline
- 2-4+ 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)
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
