Data Engineering Manager

About Redwood Materials

Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.

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

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.