Engineering Manager, Data (Remote, US) jobs in United States
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Renew Home · 2 months ago

Engineering Manager, Data (Remote, US)

Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home. They are seeking an experienced Data Engineering Manager to lead a team of data engineers in building and maintaining secure, scalable data infrastructure and pipelines while collaborating with cross-functional stakeholders.

Clean EnergyRenewable EnergySmart Home
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Responsibilities

Manage and mentor a team of data engineers. Support career growth through regular feedback, one-on-ones, and performance reviews. Ensure the team follows company policies and fosters a respectful, inclusive work environment
Guide the team through agile development practices — sprint planning, stand-ups, retrospectives, and effective prioritization
Design and oversee scalable, reliable data pipelines — both batch and real-time
Work closely with software engineers, data scientists, and cross functional product teams to deliver clean, consistent, and high-quality data across the company
Uphold data quality, integrity, and compliance with governance standards
Maintain system performance, data integrity, and uptime. Manage and participate in on-call rotations and ensure strong operational standards
Champion modern data practices, cloud technologies, and automation to improve efficiency, scalability, and cost-effectiveness
Keep the team aligned with evolving data technologies and best practices while fostering a culture of learning and innovation
Work with tools and platforms such as Python, Postgres, AWS/GCP, Prefect (or Airflow), Redis, Git, and Terraform

Qualification

Data engineeringCloud data platformsPythonSQLAgile developmentData pipelinesWorkflow orchestrationData qualityInfrastructure as codeData streaming systemsLeadershipCommunication

Required

8+ years of experience in data engineering or related fields, including 2+ years in a leadership role
Comfort balancing leadership and technical execution. This role includes regular hands-on engineering work—designing and reviewing architecture, writing and reviewing code, and contributing directly to implementation—while also managing, mentoring, and enabling the team
Proven experience designing and delivering large-scale data pipelines (batch and streaming)
Hands-on experience with cloud data platforms (AWS or GCP) and modern data lake platforms (Apache Iceberg/Snowflake)
Proficiency in Python and SQL, plus solid software engineering fundamentals
Strong understanding of workflow orchestration tools (e.g., Prefect, Airflow, or Dagster)
Familiarity with data streaming systems (Kafka, Kinesis, or Pub/Sub) and infrastructure as code (Terraform, CDK)
Excellent communication and leadership skills — able to motivate, mentor, and guide technical teams
A passion for building reliable systems, continuous improvement, and collaborative teamwork

Preferred

Experience with data warehousing (Redshift, BigQuery) or machine learning pipelines
Exposure to Apache Spark
Contributions to open-source data projects or cloud certifications (AWS or GCP)

Benefits

Fully remote work environment with home office set-up allowance
No pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!)
Parental leave benefits
Competitive benefits package that includes numerous health and wellness benefits
401(k) plan, with employer contributions to the same.

Company

Renew Home

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Renew Home integrates energy-smart features into homes, supporting cleaner energy and cost savings.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase