Data Engineering Manager McCarran, NV

Redwood Materials, Inc.; Nevada (IA); On-site; USD 180,000 - 240,000; Full time

Job summary

Redwood Materials, Inc. is seeking an experienced Manager of Data Engineering to lead a growing team of data engineers and analysts, setting strategy for the data platform and data services across the company.

You will own the long-term roadmap, drive cross‑functional collaboration, oversee data pipelines, and ensure reliability and quality while mentoring staff and advancing a culture of technical excellence.

Qualifications

• Degree or equivalent in a technical field.
• 5+ years building data solutions in cloud environments; 2+ years leading teams.
• Strong Python and SQL; ability to review code.

Responsibilities

• Lead and grow a team of data engineers and analysts; hiring, mentoring, and performance.
• Own long-term roadmap for the data platform; balance infra, pipelines, analytics.
• Drive cross-functional collaboration to translate needs into technical deliverables.
• Oversee design and operation of data pipelines across streaming datasets and APIs.
• Set on-call expectations and ensure production data workloads have monitoring and incident response.
• Stay hands-on; review code and prototype solutions alongside the team.
• Foster a culture of technical excellence and cross-organizational impact.

Skills

Leadership

Python

SQL

AWS

Data pipelines

Education

Bachelor's in CS or equivalent

Tools

CDK

Kubernetes

Trino

ETL tooling

Job description

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.

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

• 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.