Software Engineer- Data Platform

Uplight

3d•$105,000 - $130,000•Remote

About The Position

Uplight is creating a new category of energy by developing software that manages energy resources in homes and businesses. This includes smart thermostats, electric vehicles, solar panels, storage batteries, heat pumps, and even people's behavior to generate, shift, or save energy to balance the grid, making it more efficient and reliable. This creates clean energy capacity that can be used by the power grid instead of burning more fossil fuels. Our solutions accelerate the transition to clean energy and save money for energy customers. We're looking for a Software Engineer – Data Platform to join our Data Platform team and help scale the infrastructure behind Uplight's data ecosystem. You'll join a remote-first data platform team working on the infrastructure-as-code, enablement tooling, and platform administration that ensure teams across the company can use our Databricks platform effectively. Instead of building product pipelines, you'll contribute to the platform layer that everyone else builds upon, helping keep it reliable, secure, well governed, and easy to use. If you like working at the overlap of cloud infrastructure and data platforms, and you want your work to support clean energy, this is a great fit.

Requirements

2 to 5 years of software engineering experience using at least one of the major cloud providers, ideally in infrastructure or data platform roles
Experience with Terraform or similar Infrastructure-as-Code tools for managing cloud resources
Experience with Databricks or a similar data platform
Proficiency in Python; working knowledge of SQL
Some familiarity with data engineering concepts like ETL pipelines, data modeling, or workflow orchestration
Familiarity with, or genuine openness to, working with AI coding agents and assistants; you don't need to be an expert, but you should be curious about using agentic AI thoughtfully and responsibly
Comfortable asking questions, working through unclear requirements, and learning from the engineers around you

Nice To Haves

Familiarity with Databricks account-level administration & Unity Catalog
Experience with multi-cloud (AWS, GCP)
Knowledge of data governance, access control, and compliance practices
Additional data engineering experience with Spark, Delta Lake, or similar frameworks
Experience tuning big data workloads for performance and cost efficiency
Contributed to machine learning productization and/or have used MLOps frameworks

Responsibilities

Build and maintain Databricks infrastructure across AWS and GCP using Terraform
Contribute to Unity Catalog administration including metastores, workspaces, catalog and schema infrastructure, and the grants and access patterns that keep data secure without slowing teams down
Help build deployment accelerators, templates, and self-service tooling (including Databricks Asset Bundles) so other teams can onboard and ship on their own
Support engineers across the company as they use the platform, troubleshooting issues and turning repeat questions into documentation and tooling
Develop and maintain CI/CD pipelines in CircleCI, including OIDC authentication and service principal deployment patterns
Maintain and iterate on our existing MLOps infrastructure
Help bring agentic AI into the team's day-to-day workflows, using AI coding agents and assistants across development, code review, testing, and operational runbooks