Software Engineer- Data Platform

Uplight develops software that manages energy resources to support grid efficiency, reliability, and the transition to clean energy. The Software Engineer – Data Platform will build and maintain the infrastructure, administration, deployment tooling, and operational systems supporting the company’s Databricks-based data ecosystem across cloud platforms.

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

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
• Candidates must be eligible to obtain CFIUS approval as a condition of employment
• 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