Senior Data Engineer - AWS Pipelines & Data Warehouse

Anthro Energy, Inc.; Alameda (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Salary range: $120k–$160k

15 Vacation Days + 10 Holidays + Sick

Full medical, dental and vision

401k with match

Parental leave with flexible return

Diverse and inclusive environment

Job summary

Anthro Energy, Inc. is seeking a Data Engineer to build and scale our data backbone. You will own pipelines, modeling, and cloud infrastructure within the Anthro Data Team.

Responsibilities include ELT pipeline design, secure data movement to AWS, analytics-ready warehouse models, and production SQL. Experience with AWS, GCP, Azure, and IaC is preferred; collaboration with researchers and engineers is essential for translating workflows into robust data systems.

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 — 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.

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

Skills

Python

SQL

Data modeling

Cloud data warehouse

AWS

GCP

Azure

CI/CD

Git

Education

Bachelor's degree in CS/Engineering/Mathematics

Tools

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

• 4-5+ 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