Staff Data Engineer

Description

The company is a consumer energy platform that gives homeowners one place to discover, buy, finance, install, monitor and manage home energy products and services, including solar, battery storage, HVAC and heat pumps. It serves hundreds of thousands of homeowners in more than 30 states.

The team values internal promotion, career growth and purpose-driven work. Benefits include unlimited PTO, medical, dental and vision coverage, paid parental leave and retirement plans.

You will own the technical design of the data platform behind the company's products, partners and AI agents. The data covers the full customer journey, from sales and lending through installation, interconnection and years of system production. The goal is one governed, trusted view of the business where each metric is defined once, so dashboards, notebooks and agents give the same answer. You will also build a secure, authorized, auditable way for people and systems to use that data directly.

This is a hands-on individual contributor role. You will set technical direction, write core code and work closely with the core platform and product teams. AI agents are primary users of the platform.

Responsibilities

• Build and own data products, from bronze to gold, that give analysts, engineers, product teams, partners and AI tools trustworthy data.
• Shape the semantic context, documentation and interfaces so agents answer from governed definitions and every answer traces back to its source.
• Manage classification, masking, access policy and change control as code, and prepare the platform for SOC 2 and related audits.
• Run ingestion and orchestration as code, with CI/CD, observability, alerting and SLAs.
• Work with finance, operations, product and engineering to track how their data needs change.
• Design and operate the secure, authorized, low-latency interface that products, partners and agents use to access data.
• Review code, mentor teammates, and provide engineering teams with templates and CI checks for shipping trusted data.

Requirements

• 8+ years in data engineering, including time at Staff or lead level owning a platform used by multiple teams.
• Deep SQL and Python skills.
• Strong grounding in analytical warehouses such as Snowflake or BigQuery, including schema design, query plans and distributed computing.
• Deep experience with dbt or a similar transformation framework such as SQLMesh or Dataform.
• Experience with ETL orchestration tools such as Fivetran or Airflow.
• Experience with infrastructure as code and container orchestration on AWS, GCP or Azure.
• Hands-on agentic engineering beyond prompting: you run coding agents in loops checked by specs and tests, and keep up with new tools.
• Design docs that resolved cross-team architecture decisions, and clear written and verbal communication with non-technical partners.
• Working knowledge of API design, authentication and authorization such as OAuth/OIDC and RBAC, and of PII handling.
• Experience with reporting tools such as Looker or Hex is a plus.

Conditions

This is a remote role based in the United States.

You will report to the Senior Manager, Data Engineering.