Data Engineer, Uplight

• 2–5 years of software engineering experience, ideally in backend or data-focused roles
• Experience with Databricks, Spark, or similar big data technologies
• Proficiency in Python and SQL
• Exposure to cloud platforms such as GCP or AWS
• Familiarity with CI/CD tools and infrastructure-as-code (e.g., Docker, Terraform, CircleCI)
• Strong communication and collaboration skills; a team player excited to learn and grow

Desirable

• We are seeking a Data Engineer focusing on data platform enablement to support our mission and scale our impact
• As a Data Engineer at Uplight, you’ll play a central role in designing and maintaining the infrastructure that ingests, transforms, and delivers data across our platform
• Your work ensures that data systems are reliable, scalable, observable, and cost-efficient—forming the backbone of many customer-facing and data science-driven solutions
• You’ll partner with cross-functional teams including analysts, product managers, and data scientists to ensure the platform meets the evolving needs of our business and our users
• Design, build, and maintain data pipelines using Databricks (Spark, Delta Lake) and Python
• Collaborate across teams to develop core platform capabilities—such as orchestration, metadata management, and data quality—delivering scalable, reusable solutions
• Improve reliability and fault tolerance of ingest pipelines handling large volumes of utility data
• Build and support MLOps tooling, including data pipelines, model registries, and serving infrastructure
• Participate in the full software development lifecycle: design, build, test, deploy, and support
• Contribute to a remote-first team that values agility, collaboration, and clarity—favoring whiteboarding, async design docs, and reflective retros over rigid ceremonies
• Continuously learn and grow with support from senior engineers and team leads
• Help maintain a team culture rooted in curiosity, empathy, and continuous improvement

• Application Deadline: July 19, 2025