Job Overview
Location
United States
Job Type
Full-time
Category
Data Engineer
Date Posted
June 26, 2026
Full Job Description
đź“‹ Description
- • Design, build, and evolve scalable dbt data models that accurately represent company KPIs and business metrics across Finance, Product, and Go-to-Market teams.
- • Develop and maintain intuitive Looker dashboards that enable stakeholders to make informed, data-driven decisions based on trusted analytics.
- • Partner with cross-functional teams to translate business requirements into scalable analytics solutions that support forecasting, execution, and operational decision-making.
- • Collaborate with Data Engineering to ensure high-quality, reliable data pipelines are in place for reporting and analysis across the organization.
- • Work alongside analytics engineers and analysts to establish and enforce dbt and Looker best practices, including quality assurance on data models and dashboards.
- • Analyze complex datasets to uncover actionable insights that improve business performance, forecasting accuracy, and operational efficiency.
- • Scope, prioritize, and execute analytics initiatives that deliver measurable value across Aurora Solar’s business functions.
- • Own the end-to-end analytics lifecycle, from data modeling and validation to quality assurance and delivery of trusted reporting.
- • Leverage AI tools to accelerate analysis, troubleshoot data issues, and enhance complex data modeling workflows.
- • Communicate technical concepts and analytical insights clearly to both technical and non-technical stakeholders to drive alignment and adoption.
- • Independently drive projects from concept through implementation, influencing stakeholders and ensuring successful delivery without direct authority.
- • Support the broader analytics foundation by contributing to the evolution of data standards, documentation, and governance practices.
- • Ensure data models and dashboards are optimized for performance, accuracy, and usability across all business units.
- • Maintain awareness of industry trends and emerging tools to continuously improve the analytics stack and enable data-driven culture.
🎯 Requirements
- • 4+ years of experience in analytics, analytics engineering, or a similar data-focused role using SQL to develop data models and generate business insights.
- • 2+ years of experience working with dbt and Looker in a production environment.
- • Strong experience designing, building, and optimizing scalable dbt models and Looker dashboards based on business and performance requirements.
- • Advanced SQL and analytical problem-solving skills, with the ability to independently solve complex data challenges.
- • Experience leveraging AI tools to accelerate analysis, troubleshoot data issues, and support complex data modeling workflows.
- • Experience owning the end-to-end analytics lifecycle, including data modeling, validation, quality assurance, and delivery of trusted reporting.
🏖️ Benefits
- • Flexible PTO - Take the time when you need it
- • Parental Leave - 16 weeks with 100% base salary + gradual return to work
- • WFH Stipend - $750 for Engineering roles
- • Coworking Stipend - $300 / month if you prefer to be at a coworking facility near you
- • Energize Fridays - Company-wide days to log off and recharge
- • Connectivity Stipend - Up to $100 / month towards internet or phone
- • Learning & Development - $720 / annually to use towards professional development (after 90 days of employment)
- • Medical, Dental, and Vision - Premiums are 100% covered for Aurorans and 90% for dependents
Skills & Technologies
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About Aurora Solar Inc.
Aurora Solar Inc. provides cloud-based software that enables solar installers, developers, and financiers to design, sell, and deliver photovoltaic systems. The platform combines LiDAR, aerial imagery, and 3-D modeling to generate accurate shade analysis and energy-production forecasts, automating system layouts, permitting documents, and financing proposals. Customers use the solution to streamline sales workflows, reduce design cycles, and improve project economics. Founded in 2013 and headquartered in San Francisco, California, the company serves residential and commercial markets across North America and internationally.
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