Senior Analytics Engineer
San Francisco, California, United States
- Pay
- Pay not listedSimilar roles state $122K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Experience with Starburst and OpenMetadata. The position is full-time. Compensation will be commensurate with experience. We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
Read the full posting
What you’ll work on
Full postingOur central data and analytics team builds and operates the data pipelines that power reporting, analytics, and automation across Redwood.
You will work directly with stakeholders in finance, supply chain, and operations to understand what they need, scope technical solutions, and deliver reliable, automated data products.
Build, deploy, and maintain production-grade automated data pipelines in Python and SQL
Run one-off and automated analyses using financial and supply chain models
Scope pipeline and automation solutions from conversations with business users
Develop and orchestrate pipelines with Dagster or Airflow, and manage transformations with dbt
Deploy and run pipelines on cloud infrastructure and keep them reliable
From the employer’s posting
Our central data and analytics team builds and operates the data pipelines that power reporting, analytics, and automation across Redwood. This is a hands-on engineering role: the majority of our work is code-based data pipelining and automated data analyses. You will spend most of your time on code-based analysis and building and maintaining production pipelines rather than working in a BI tool.
You will work directly with stakeholders in finance, supply chain, and operations to understand what they need, scope technical solutions, and deliver reliable, automated data products. We are looking for someone who can translate a business conversation into a well-engineered pipeline and stand behind it in production.
Build, deploy, and maintain production-grade automated data pipelines using Python and SQL.
Perform one-off and automated data-driven analyses using financial and supply chain models and calculations.
Scope technical pipeline and automation solutions based on conversations with users and an understanding of the underlying business value drivers.
Develop and orchestrate pipelines using tools such as Dagster or Airflow, and manage transformations with dbt.
Deploy and run pipelines on cloud infrastructure, and help maintain the reliability of what we ship.
Education & alternatives
- 3+ years building, deploying, and maintaining production data pipelines. - Minimum bachelor’s degree in quantitative or technical field such as Data Engineering, Computer Science, Applied Math, etc. Graduate degree preferred. - Domain expertise in financial metrics or in supply chain and operations.
Tools in this posting
- Python
- SQL
- AWS
- dbt
- Airflow
- Dagster
Source — Tool mentions in context
What You'll Do - Build, deploy, and maintain production-grade automated data pipelines using Python and SQL. - Perform one-off and automated data-driven analyses using financial and supply chain models and calculations.
- Domain expertise in financial metrics or in supply chain and operations. - Strong Python and SQL. - Experience with orchestration tools such as Dagster or Airflow, and with dbt.
Nice to Have - Experience with AWS. - Domain expertise across both financial metrics and supply chain/operations.
- Scope technical pipeline and automation solutions based on conversations with users and an understanding of the underlying business value drivers. - Develop and orchestrate pipelines using tools such as Dagster or Airflow, and manage transformations with dbt. - Apply CI/CD and sound software engineering practices (version control, testing, code review) to data workflows.
- Strong Python and SQL. - Experience with orchestration tools such as Dagster or Airflow, and with dbt. - Working knowledge of cloud infrastructure.
About Redwood Materials
Redwood Materials was founded in 2017 by JB Straubel, co-founder and former CTO of Tesla, on a simple but radical idea: the critical minerals powering the energy transition already exist.
In the employer’s words · Read in context
Posting record
Report an errorOpen 3 monthsWe first saw this posting 103 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 19, 2026 · 103 days ago
- Recorded sightings
- 107
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
About Redwood Materials
Redwood Materials was founded in 2017 by JB Straubel, co-founder and former CTO of Tesla, on a simple but radical idea: the critical minerals powering the energy transition already exist. They just need to come back. Today Redwood is the largest lithium-ion battery recycler in North America — recovering, refining, and redeploying critical minerals from end-of-life batteries back into the supply chain. On the energy side, Redwood has deployed the largest second-life battery project in the world, delivering power to AI data centers in months rather than years using proprietary energy architecture engineered entirely in-house. The company is profitable, the market it operates in is projected to grow 20 to 50 times over the next decade, and Redwood is the only company with the supply chain, the technology, and the operational scale to lead it.
About Redwood Materials
Redwood Materials is building a circular supply chain for batteries. Founded in 2017, we recover, reuse, and recycle end-of-life batteries and manufacturing scrap, and use the recovered materials to produce battery components domestically and power energy storage installations. Our goal is to reduce the cost and environmental footprint of batteries by keeping critical minerals in circulation.
About the Role
Our central data and analytics team builds and operates the data pipelines that power reporting, analytics, and automation across Redwood. This is a hands-on engineering role: the majority of our work is code-based data pipelining and automated data analyses. You will spend most of your time on code-based analysis and building and maintaining production pipelines rather than working in a BI tool.
You will work directly with stakeholders in finance, supply chain, and operations to understand what they need, scope technical solutions, and deliver reliable, automated data products. We are looking for someone who can translate a business conversation into a well-engineered pipeline and stand behind it in production.
What You'll Do
- Build, deploy, and maintain production-grade automated data pipelines using Python and SQL.
- Perform one-off and automated data-driven analyses using financial and supply chain models and calculations.
- Scope technical pipeline and automation solutions based on conversations with users and an understanding of the underlying business value drivers.
- Develop and orchestrate pipelines using tools such as Dagster or Airflow, and manage transformations with dbt.
- Apply CI/CD and sound software engineering practices (version control, testing, code review) to data workflows.
- Deploy and run pipelines on cloud infrastructure, and help maintain the reliability of what we ship.
- Partner with finance, supply chain, and operations stakeholders to deliver the metrics, datasets, and automations they rely on.
- Own delivery of your work end to end, including scoping, prioritization, and follow-through.
What We're Looking For
- 3+ years building, deploying, and maintaining production data pipelines.
- Minimum bachelor’s degree in quantitative or technical field such as Data Engineering, Computer Science, Applied Math, etc. Graduate degree preferred.
- Domain expertise in financial metrics or in supply chain and operations.
- Strong Python and SQL.
- Experience with orchestration tools such as Dagster or Airflow, and with dbt.
- Working knowledge of cloud infrastructure.
- Familiarity with CI/CD and good coding practices.
- Ability to scope technical data pipeline solutions and automations from stakeholder conversations and business context.
Nice to Have
- Experience with AWS.
- Domain expertise across both financial metrics and supply chain/operations.
- Project management skills.
- Experience with Starburst and OpenMetadata.
The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
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- Location & working pattern
San Francisco, California, United States
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