Staff Engineer, Data @Renew Home
Data and Analytics
Salary usd 170,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 1wk ago

[Hiring] Staff Engineer, Data @Renew Home

1wk ago - Renew Home is hiring a remote Staff Engineer, Data. πŸ’Έ Salary: usd 170,000 - 220,000 per year πŸ“Location: USA

Role Description

At Renew Home, we are committed to transforming how residential energy is managed across North America. As a Staff Data Engineer, you will serve as a foundational technical leader shaping our end-to-end data platform strategy, real-time streaming pipelines, and enterprise data lakehouse ecosystem. You will architect high-throughput, fault-tolerant infrastructure capable of processing streaming device telemetry from millions of connected homes to support scalable analytics, operational insights, and machine learning initiatives.

This is a high-impact individual contributor role with meaningful technical leadership responsibility. You will act as a force multiplier across the engineering organization by mentoring engineers, incorporating feedback, influencing engineering culture, and helping shape how we work.

What You Will Do

  • Define and drive the long-term data architecture vision, roadmap, and design standards across Renew Home's virtual power plant ecosystem, ensuring high availability, security, scalability, and resilience.
  • Lead the design and implementation of fault-tolerant batch and real-time streaming data infrastructure capable of continuously processing data from millions of connected devices.
  • Collaborate closely with application and analytics engineering teams to drive data architecture vision and delivery.
  • Direct database architecture and continuous performance tuning across PostgreSQL Aurora, AWS Redshift, and query engines through advanced indexing, partitioning, and workload management strategies.
  • Set high technical standards for data pipeline development, monitoring, data quality, and uptime; actively lead infrastructure management and support operations in our on-call rotation.
  • Mentor and guide senior and mid-level data engineers, promoting engineering best practices, architectural design reviews, and technical growth across the organization.
  • Continuously evaluate, prototype, and integrate modern data technologies and frameworks (e.g., Python, Redshift, Postgres, AWS/GCP, Lambda, Kinesis, Prefect, Iceberg, Terraform) to ensure optimal system evolution.

Qualifications

  • 10+ years of software and data engineering experience, with a proven track record of architectural leadership at scale.
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent practical experience.
  • Proven experience designing, building, and operating production-grade high-volume batch and real-time data streaming architectures using technologies like GCP PubSub, AWS Kinesis, AWS Lambda, Apache Kafka and Apache Flink.
  • Deep expertise in building scalable data lake architectures (AWS S3, Iceberg, AWS Glue, Delta Lake) and managing structured and unstructured device telemetry data.
  • Expert hands-on proficiency in database design, performance tuning, query optimization, indexing, and partitioning with AWS Redshift and PostgreSQL Aurora.
  • Mastery of Python and SQL with strong software engineering principles, CI/CD, and Infrastructure as Code using Terraform, CDKTF and AWS CDK.
  • Self-starter with exceptional analytical and problem-solving skills, capable of turning complex ambiguous problems into clean, scalable technical solutions.
  • Demonstrated ability to mentor engineering talent, drive cross-functional alignment, and champion data infrastructure best practices across multiple teams.

Requirements

  • Extensive experience optimizing enterprise-scale data warehouses and leveraging advanced Redshift capabilities (e.g., Redshift Spectrum, concurrency scaling, Workload Management).
  • Hands-on experience with big data engines (e.g., Apache Spark, Ray) or building end-to-end Machine Learning pipelines.
  • Active contributions to open-source data ecosystems or relevant advanced certifications (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer, AWS Solutions Architect Professional).

Benefits

  • A full-time position, with a competitive salary based on experience. The base salary for this role is $170k - $220k.
  • This role is eligible for a target annual bonus of 15% of base salary, and participation in long-term incentive programs tied to company growth and performance.
  • Fully remote work environment with home office set-up allowance.
  • Real and lived work-life balance - Company perks include no pre-set vacation limits, parental leave benefits, and a corporate value of working sustainably and putting families first.
  • Competitive benefits package that includes numerous health and wellness benefits.
  • 401(k) plan, with employer contributions to the same.
  • Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day.
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Staff Engineer, Data @Renew Home
Data and Analytics
Salary usd 170,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 1wk ago
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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