Senior Data Engineer

Anthro; California; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Salary + equity

Vacation days & holidays

Medical, dental, vision

Job summary

Anthro is seeking a Data Engineer to build and scale our data backbone. You will own pipelines, modeling, and cloud infrastructure, collaborating with scientists and engineers across the data team to translate real-world workflows into reliable data systems.

Responsibilities include ELT pipeline design, secure data movement between on-prem and AWS, and developing analytics-ready warehouse models, with emphasis on performance, testing, and observability.

Qualifications

• Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline.
• 3-5+ years of data engineering experience.
• Strong Python—able to write clean, modular, well-tested, production-ready code.
• Advanced SQL—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 (Git, testing, CI/CD).
• Ability to operate independently and own data systems end-to-end.

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, performant warehouse data models for analytics and ML.
• 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 workflows into reliable data systems.

Skills

Python

SQL

Data modeling

Cloud platforms

ETL/ELT

Terraform/CDK

CI/CD

Git

Education

Bachelor’s degree (CS/Engineering/Mathematics)

Tools

AWS

GCP

Azure

Terraform

CDK/CloudFormation

Job description

We’re hiring a Data Engineer to help build and scale our data backbone. This will be a high impact position on the Anthro Data Team, with significant ownership across pipelines, modeling, and cloud infrastructure.

Our data spans lab characterization equipment, high-volume manufacturing systems, thousands of battery cycler channels, and business software.Your day to day will include:

• 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, performant warehouse data models for analytics and ML

• 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 closely with scientists and engineers to translate real-world workflows into reliable data systems

• Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline

• 3-5+ 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)

• Ability to operate independently and own data systems end‑to‑end

Nice to Have:

• 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

• Competitive salary and equity compensation commensurate with experience. Expected salary range for posted level is $120-160k

• 15 Vacation Days, 10+ Holidays, Sick time off
• Full medical, dental, and vision coverage for team members, 60% coverage for dependents
• 401k with match
• Paid parental leave with flexible return‑to‑work policy
• Diverse and inclusive work environment