Staff Engineer, Data (Remote, US)

Who We Are

Everyday Electric (formerly 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 as part of the largest residential virtual power plant in North America.

We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort — and cleaner energy for everyone.

We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard.

We strongly encourage candidates to check out our website at www.everydayelectric.com to learn more about the world-changing work we are doing.

Role Summary

At Everyday Electric, 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 Everyday Electric'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.