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Engineering Manager, Data - Remote

Posted 2 days ago
Software Development
Full Time
USA

Overview

Renew Home is seeking an experienced Data Engineering Manager to lead a team of 4-5 data engineers in building and maintaining secure, scalable data infrastructure and pipelines.

In Short

  • Lead and mentor a team of data engineers.
  • Architect and oversee the deployment of data pipelines.
  • Guide the implementation of data lake architectures.
  • Collaborate with cross-functional stakeholders.
  • Ensure 99.99% uptime SLA for data systems.
  • Uphold data quality and compliance standards.
  • Manage the team's work across various technologies.
  • Facilitate agile development processes.
  • Handle resource allocation and project prioritization.
  • Stay updated on industry trends in data engineering.

Requirements

  • Proficiency in data engineering and team management.
  • Experience with AWS/GCP services.
  • Strong knowledge of Python and Postgres.
  • Ability to collaborate with diverse teams.
  • Experience in agile methodologies.
  • Understanding of data governance and compliance.
  • Ability to maintain operational excellence.
  • Strong leadership and communication skills.

Benefits

  • Opportunity to lead a talented team.
  • Work in a mission-driven organization.
  • Flexible work environment.
  • Professional development opportunities.
  • Inclusive workplace culture.
Renew Home logo

Renew Home

Renew Home is dedicated to transforming the way energy is utilized in residential settings, aiming to empower customers to save both energy and money. As part of North America's largest residential virtual power plant, the company collaborates with leading brands to enhance energy efficiency, savings, and comfort while promoting cleaner energy solutions. Renew Home fosters a diverse and inclusive workplace, ensuring that all employees feel valued and heard. With ambitious growth targets, the company is focused on delivering exceptional product experiences through a collaborative and user-centered design approach.

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