Data Engineer, Uplight

• 2–5 years of experience in data engineering or backend engineering roles
• Strong working knowledge of Databricks, Spark, or similar distributed data systems
• Experience with Airflow or other workflow orchestration tools
• Proficient in Python and SQL, with an understanding of scalable data design
• Familiarity with cloud platforms (GCP or AWS)
• Passion for writing clean, maintainable code and delivering resilient systems
• A collaborative, team-oriented mindset with strong communication skills

Desirable

• We’re looking for a Data Engineer to join our Utility Data Ingest team, focused on the resilience, scalability, and performance of the pipelines that move large-scale utility data into our platform. It's a fantastic opportunity for a dynamic & high performing individual to help us achieve our ambitious growth goals for our business, and for the planet
• As a Data Engineer on the Utility Data Ingest team you will play a central role in building and maintaining the pipelines that bring tenant utility data into Uplight's platform. Your work ensures that data is ingested accurately, efficiently, and scalably, forming the backbone of many of Uplight’s customer-facing solutions
• You’ll be responsible for improving data flow performance and reliability, helping Uplight scale to support millions of utility customers across the U.S. and Canada. You’ll also help design systems that track and expose key data quality and volume metrics, enabling better monitoring and debugging
• Design, build, and maintain data pipelines using Databricks (Spark, Delta Lake) and Python
• Develop and manage data orchestration workflows using Airflow (or similar tools)
• Improve reliability and fault tolerance of ingest pipelines handling large volumes of utility data
• Collaborate with data engineers, analysts, and product managers to define SLAs and monitoring strategies
• Continuously optimize pipelines for cost, performance, and scalability in cloud environments (GCP preferred)
• Contribute to data platform tooling such as metadata tracking, alerting, and lineage
• Participate in code reviews, sprint planning, and architecture discussions in a remote-first, agile environment

• Application Deadline: July 19, 2025