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RM

Data Engineering Manager

Redwood Materials
McCarran, NV
Full Time
Posted July 17, 2026
$123k - $175k· Est.
Energy Storage
~47 people viewed this recently
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Job Description

Redwood Materials is looking for a motivated and talented Manager of Data Engineering to lead a team of Data Engineers and Analysts.

Key Responsibilities

  • 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

Requirements

  • 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!
  • 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.

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