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Job Description

The Anthro Data Team is hiring a Senior Data Engineer to build and scale the company’s data backbone. This role includes end-to-end ownership across ELT pipelines, warehouse modeling, AWS cloud infrastructure, monitoring, and data quality.

Responsibilities

  • Design and build production-grade ELT pipelines for lab and manufacturing data
  • Architect secure and reliable data movement between on-prem systems and AWS
  • Develop well-structured, high-performance data warehouse models to support analytics and ML
  • Write, test, and optimize complex SQL powering production dashboards and data workflows
  • Deploy and manage AWS infrastructure using infrastructure-as-code practices
  • Implement monitoring, data quality checks, and system observability
  • Collaborate with scientists and engineers to translate real-world workflows into dependable data systems

Requirements

  • Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline
  • 2-4+ years of data engineering experience
  • Strong Python, with the ability to write clean, modular, well-tested, production-ready code
  • Advanced SQL, 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 (AWS, GCP, Azure) and infrastructure-as-code tools (Terraform, CDK, CloudFormation)
  • Strong software engineering fundamentals, including Git, testing, and CI/CD
  • Ability to operate independently and take end-to-end ownership of data systems

Technologies

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

Location and Compensation

Alameda, CA (onsite). Salary range: USD 116,000 - 145,000 per year.

Benefits

  • Competitive salary and equity compensation commensurate with experience (expected salary range for the posted level is $116k-145k)
  • 15 Vacation Days, 10+ Holidays, and sick time off
  • Full medical, dental, and vision coverage for team members; 60% coverage for dependents
  • 401k with match
  • Paid parental leave with a flexible return-to-work policy
  • Diverse and inclusive 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

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