Data Engineering Manager

McCarran, NV

Full Time

Posted July 17, 2026

$123k - $175k· Est.

Application opens on company website

Source: Greenhouse View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed November 1, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Energy Storage
Pay provenance: Estimated benchmark; not employer-provided

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

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

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.