Senior Data Engineering Manager
Reads like a Data Leadership role: running a data team.
McCarran, NV
- Pay
- Pay not listedSimilar roles state $153K–$225K
- Work setting
- Not stated
- Employment
Full-time — employment source
Infrequent night/weekend work if production systems are down and require immediate attention. 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 postingLead and grow the data team through hiring, mentoring and performance management
Own the data platform roadmap and prioritize infrastructure, pipelines and analytics requests
Oversee design and operation of streaming, API and data store pipelines
Set on-call expectations and manage incident response for production data workloads
Review code and work hands-on in pipeline and infrastructure tasks alongside the team
From the employer’s posting
Lead and grow a team of data engineers and analysts, including hiring, mentoring, career development, and performance management
Own the long-term roadmap and prioritization for the data platform, balancing infrastructure investment, new pipeline development, and analytics requests from across the business
Oversee the design and operation of data pipelines spanning streaming datasets, APIs, and various data stores
set on-call expectations, triage incoming work, and ensure production data workloads have appropriate monitoring and incident response
Stay technically hands-on — review code, prototype solutions, and step into pipeline or infrastructure work alongside the team
What you’ll bring
All qualificationsPreferred experience
- Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience
- Familiarity with the modern data engineering stack — relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability/catalog tooling
- Experience operating data platforms in AWS using infrastructure-as-code methodologies (CDK a plus); familiarity with containerized workloads in Kubernetes nice to have
- Demonstrated ability to manage production data workloads at scale (detecting and diagnosing issues, monitoring, incident response)
Qualification wording
Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience
Familiarity with the modern data engineering stack — relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability/catalog tooling
Experience operating data platforms in AWS using infrastructure-as-code methodologies (CDK a plus); familiarity with containerized workloads in Kubernetes nice to have
Demonstrated ability to manage production data workloads at scale (detecting and diagnosing issues, monitoring, incident response)
Education & alternatives
Desired Qualifications: - Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience - Minimum 5 years of hands-on experience building data solutions in a modern cloud environment, with at least 2 years managing technical teams
Tools in this posting
- Python
- SQL
- AWS
- Kubernetes
- Trino
Source — Tool mentions in context
- Minimum 5 years of hands-on experience building data solutions in a modern cloud environment, with at least 2 years managing technical teams - Strong technical foundation in Python and SQL sufficient to review code, evaluate design decisions, and guide the team through hard technical problems (Trino experience a plus) - Familiarity with the modern data engineering stack — relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability/catalog tooling
Senior Data Engineering Manager Redwood Materials is looking for a motivated and talented Manager of Data Engineering to lead a team of Data Engineers and Analysts. This role requires collaboration with other business units to identify needs, scope problems, and chart the long-term roadmap for the data platform and services. The Data team is responsible for managing data assets in a data lake architecture and overseeing the full data lifecycle from ingestion to processing to consumption. The ideal candidate is someone with experience managing technical teams, strong interpersonal skills, and technical skills in data engineering and creating/managing/supporting AWS infrastructure. Responsibilities will include:
- Familiarity with the modern data engineering stack — relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability/catalog tooling - Experience operating data platforms in AWS using infrastructure-as-code methodologies (CDK a plus); familiarity with containerized workloads in Kubernetes nice to have - Demonstrated ability to manage production data workloads at scale (detecting and diagnosing issues, monitoring, incident response)
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 102 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 · 102 days ago
- Recorded sightings
- 130
- 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.
Senior Data Engineering Manager
Redwood Materials is looking for a motivated and talented Manager of Data Engineering to lead a team of Data Engineers and Analysts. This role requires collaboration with other business units to identify needs, scope problems, and chart the long-term roadmap for the data platform and services. The Data team is responsible for managing data assets in a data lake architecture and overseeing the full data lifecycle from ingestion to processing to consumption. The ideal candidate is someone with experience managing technical teams, strong interpersonal skills, and technical skills in data engineering and creating/managing/supporting AWS infrastructure.
Responsibilities will include:
- Lead and grow a team of data engineers and analysts, including hiring, mentoring, career development, and performance management
- Own the long-term roadmap and prioritization for the data platform, balancing infrastructure investment, new pipeline development, and analytics requests from across the business
- Drive cross-functional collaboration with teams across Redwood to discover needs, scope problems, and translate requirements into technical deliverables
- Oversee the design and operation of data pipelines spanning streaming datasets, APIs, and various data stores, ensuring they meet reliability and quality standards
- Operationalize the team — set on-call expectations, triage incoming work, and ensure production data workloads have appropriate monitoring and incident response
- Stay technically hands-on — review code, prototype solutions, and step into pipeline or infrastructure work alongside the team
- Foster a culture of technical excellence and execution, and champion the data team's work across the broader organization
Desired Qualifications:
- Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience
- Minimum 5 years of hands-on experience building data solutions in a modern cloud environment, with at least 2 years managing technical teams
- Strong technical foundation in Python and SQL sufficient to review code, evaluate design decisions, and guide the team through hard technical problems (Trino experience a plus)
- Familiarity with the modern data engineering stack — relational and non-relational data stores, ELT orchestration, transformation tooling, and data observability/catalog tooling
- Experience operating data platforms in AWS using infrastructure-as-code methodologies (CDK a plus); familiarity with containerized workloads in Kubernetes nice to have
- Demonstrated ability to manage production data workloads at scale (detecting and diagnosing issues, monitoring, incident response)
- Strong interpersonal and communication skills; able to translate between business stakeholders and technical teams, and to advocate for the team's roadmap with senior leadership
- A Passion for sustainability and making the world a better place!
Physical Requirements:
- Constantly perform desk-based computer tasks, grasp lightly/fine manipulation.
- Occasionally stand/walk, twist/bend/stoop/squat, reach/work above shoulders, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds.
Working Conditions:
- Infrequent night/weekend work if production systems are down and require immediate attention.
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
McCarran, NV
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