# Senior Data Engineer

**Company:** [Anthro](https://jobs.workable.com/companies/xfH8a2T3QM5c85PVWq5K5n.md)
**Location:** Alameda, United States
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](https://jobs.workable.com/view/c38c11e4-2066-4d1e-a147-3348b116fc93)

## 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

## Requirements

-   Bachelor’s degree in CS, 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) 

-   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 

-   Experience building data software with Golang 

-   AWS and/or ClickHouse-specific experience 

-   Experience supporting AI/ML data pipelines

## Benefits

-   Competitive salary and equity compensation commensurate with experience. Expected salary range for posted level is $116k-145k

-   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