Senior Data Engineer

Anthro; Alameda (CA); On-site; USD 116,000 - 145,000; Full time

Benefits offered by this job

Competitive salary and equity

15 Vacation Days

Full medical, dental, and vision

401k with match

Paid parental leave

Job summary

Anthro in Alameda, CA is seeking a Senior Data Engineer to build and scale the data backbone across pipelines, modeling, AWS infrastructure, monitoring, and data quality.

You will design ELT pipelines for lab and manufacturing data, move data securely between on-prem and AWS, and craft warehouse models for analytics and ML, while writing optimized SQL for dashboards.

Qualifications

• Bachelor’s degree in CS/engineering/math or a scientific discipline.
• 2–4+ years of data engineering experience.
• Strong Python skills for production-grade code.
• Advanced SQL and data modeling experience.
• Experience with AWS, GCP, or Azure and IaC tools.
• Solid software engineering fundamentals and CI/CD.

Responsibilities

• Design and build production-grade ELT pipelines for lab and manufacturing data.
• Architect secure, reliable data movement between on-prem and AWS.
• Develop warehouse data models for analytics and ML.
• Write and optimize complex SQL powering dashboards.
• Deploy and manage AWS infrastructure with IaC.
• Implement monitoring, data quality checks, and observability.
• Collaborate with scientists and engineers to convert workflows.

Skills

Python

Advanced SQL

Data modeling

End-to-end data systems

CI/CD

Git/version control

Reading query plans

Education

Bachelor’s degree in CS/Engineering/Math or scientific discipline

Tools

Terraform

CDK

CloudFormation

AWS

GCP

Azure

Git

Job description

Senior Data Engineer role on the Anthro Data Team to build and scale the data backbone across pipelines, modeling, AWS infrastructure, monitoring, and data quality.

Responsibilities

• 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, high-performing warehouse data models for analytics and ML
• Write, test, and optimize complex SQL powering production dashboards and workflows
• Deploy and manage AWS infrastructure using infrastructure-as-code
• Implement monitoring, data quality checks, and system observability
• Collaborate with scientists and engineers to convert 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 skills for clean, modular, well-tested, production-ready code
• Advanced SQL, including schema design, reading query plans, and performance tuning at scale
• Experience with data modeling and query optimization in a cloud data warehouse
• Familiarity with AWS, GCP, or Azure plus infrastructure-as-code tools such as Terraform, CDK, or CloudFormation
• Strong software engineering fundamentals: Git/version control, testing, and CI/CD
• Ability to operate independently and own end-to-end data systems

Technologies

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

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

Benefits

• Competitive salary and equity commensurate with experience (expected range: $116,000-$145,000 for the posted level)
• 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

Location: Alameda, CA (onsite)

Experience: 2 years minimum

Compensation: USD 116,000 - 145,000 per year