Data Platform Engineer (Staff / Sr Staff)
About The Position
Equilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. Our technology and market platform helps utilities, independent power producers, and commercial customers optimize their renewable energy assets, improve grid reliability, and accelerate decarbonization. As a fast-growing climate tech company, we're building infrastructure that will shape the future of energy markets and enable a sustainable energy economy. Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan. EQ's data is foundational to everything we do - powering the forecasting and optimization models that help transform the power sector. As we scale, we need someone to define how the rest of the company discovers, understands, and accesses that data. We're looking for a Staff / Sr Staff Data Platform Engineer to design and build the infrastructure, interfaces, and patterns that make our data platform genuinely useful to the 50+ engineers who depend on it. This is a foundational role. You'll be the first dedicated Data Platform Engineer at EQ, which means you'll have significant latitude to shape what data platform infrastructure looks like here - from cataloging and lineage to access patterns and self-serve capabilities.
Requirements
- 7+ years of experience in software engineering, with a focus on data infrastructure
- Strong proficiency in Python and SQL
- Experience with modern data stack components such as Databricks, Spark, dbt, or similar
- Experience designing and building internal platforms, frameworks, or libraries used by other engineers
- Familiarity with data cataloging, metadata management, or lineage tools (e.g., DataHub, Amundsen, Unity Catalog, OpenLineage)
- Experience with orchestration tools such as Dagster, Airflow, or similar
- Ability to work across teams and translate diverse requirements into coherent platform capabilities
- Strong communication skills for collaborating within a remote-first team that works internationally across timezones
- Experience with and enthusiasm for AI-assisted development
Nice To Haves
- Experience as a founding or early member of a data platform team
- Background building self-serve data tooling
- Experience with AWS infrastructure
- Familiarity with data modeling and semantic layers
- Experience supporting ML or Data Science teams
Responsibilities
- Design and implement data cataloging infrastructure so engineers can discover what data exists, what it means, and how it relates to other data
- Build lineage capabilities that allow teams to understand data provenance and trace how data flows through our systems
- Define and implement consistent data access patterns and libraries that ML Engineers, Application Engineers, and Data Scientists use to interact with the data platform
- Create self-serve tooling that reduces the friction for teams to find and use the data they need without requiring hand-holding
- Contribute to the development of EQ's data ontology, ensuring data platform infrastructure aligns with how the company models its domain
- Partner with Data Engineers to ensure the infrastructure you build complements the pipelines they maintain
- Collaborate across teams to understand how engineers are using data today, where the pain points are, and what capabilities would unlock the most value
- Stay current with the state of the art in data platform infrastructure and bring relevant innovations back to EQ
- Participate in on-call rotations and contribute to improving operational excellence across the data platform
Benefits
- Competitive base salary and a comprehensive medical, dental, vision, and 401k package
- Opportunity to own a significant piece of the company via a meaningful equity grant
- Unlimited vacation and flexible work schedule
- Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
