Data engineer

Data Engineer

Job Level: Mid / Senior

Location: In-office - Orem, UT, or Philippines (remote)

Shift: FT

Compensation: Orem, UT: $105,000 - $130,000 base, DOE | Philippines: PHP 2,500,000 - 4,000,000 annually (approx. $40,000 - $65,000 USD equivalent), DOE

About SunPower: SunPower’s mission is to provide industry leading, innovative, end-to-end solar energy solutions with exceptional customer service. With over 30 years of experience in the US Residential Solar industry, we deliver an all-in-one solar solution that supports the transition to clean energy. SunPower continues to grow through strategic acquisitions of leading solar companies. These have included SunPower, Blue Raven Solar, Complete Solar, and Sunder Energy. These transitions bring together the strengths, expertise, and shared commitment to making clean energy simpler and more accessible for everyone.

Benefits:

• Employee RSU Awards program
• Quarterly & Annual bonus program (based on performance)
• Competitive coverage for Health, Dental, and Vision insurance
• PTO/DTO for full-time employees
• 10 paid holidays
• Fully stocked breakroom with snacks, drinks, breakfast, and company provided lunch once a week!
• Ping pong and Corn hole in office
• CanyonPark Perks: Access to a gym, pickleball & basketball courts, outside patio areas, food trucks, and more!

Position Summary: The Data Engineer builds and maintains the pipelines that move data reliably across SunPower's systems, giving HR, Finance, Sales, and Operations teams accurate, timely data to work from. This role focuses on designing, building, and monitoring ETL/ELT pipelines, and on keeping data infrastructure stable as SunPower integrates data from newly acquired companies.

Essential Duties:

• Design, build, and maintain ETL/ELT data pipelines that move data between source systems (Salesforce, NetSuite, HR/payroll systems, etc.) and the data warehouse.
• Monitor pipeline health, troubleshoot failures, and resolve data quality issues proactively.
• Partner with analysts and business stakeholders to understand data needs and design reliable, well-documented data models.
• Support integration of data from newly acquired companies into SunPower's central data platform.
• Implement data validation, testing, and monitoring practices to catch issues before they reach reporting.
• Optimize pipeline performance and cost as data volume grows.
• Maintain clear documentation of data sources, transformations, and pipeline architecture.
• Collaborate with IT and security on data governance, access controls, and compliance requirements.

Minimum Qualifications:

• 3+ years of experience building and maintaining data pipelines in a production environment.
• Strong SQL skills and hands-on experience with at least one modern ETL/ELT tool or framework (e.g., Fivetran, dbt, Airflow, custom Python pipelines).
• Working knowledge of Python or another scripting language for data processing.
• Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift, or similar).
• Understanding of data modeling fundamentals and best practices for pipeline reliability and testing.
• Experience integrating data from CRM/ERP systems (Salesforce, NetSuite) a plus.
• Demonstrated experience in using AI for data pipes, reporting solutions.
• Comfortable working across time zones and collaborating with a distributed team (for candidates based in the Philippines, strong English communication skills required).
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent practical experience.

While performing the duties of this job, the employee is regularly required to talk or hear. Regular periods of sitting or standing may be required by this position. In addition, this position requires the ability to occasionally lift office products and supplies, up to 50 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.