Title: Full-Stack Software Engineer, Platform Data
Hours: Full-time; salaried
Location: Salt Lake City, UT (on-site, with hybrid flexibility)
Benefits Eligible: Yes
Manager: JD White
Geothermal energy is the most abundant renewable energy source in the world. There is 2,300 times more energy in geothermal heat in the ground than in oil, gas, coal, and methane combined. However, historically it's been hard to find and expensive to develop. At Zanskar, we're using better technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid. Joining us means having a direct impact in displacing carbon emissions — and growth opportunities in a startup environment.
The Platform Data team exists to organize all of Zanskar's data — internal, purchased, and public — and transform it into actionable insights. We do that in two ways: we build the data systems and pipelines that bring messy, heterogeneous data into one trustworthy place, and we build the web apps that put that data in front of the geoscientists, engineers, data scientists, and operators who use it to make decisions.
You'll design and operate pipelines that ingest data from many sources — internal systems, purchased datasets, and external feeds — reconciling them into clean, well-modeled, findable data that people trust. You’ll also build the web apps which deliver that data to stakeholders including dashboards, internal applications, and other interfaces. In short, you will be helping create a scalable data ecosystem in keeping with best practices so that geothermal experts can make decisions with confidence.
You'll own features end to end: designing system architecture, pipelines, APIs, and frontends, while being accountable for ensuring the entire system runs smoothly. You'll partner directly with teams across the organization to understand what they're trying to learn from the data, then build the thing that allows them to answer their questions.
Full-stack builder: You've built and maintained backend data systems and their associated user-facing applications. You're fluent in Python and SQL on the backend and in TypeScript and React on the frontend. You own features spanning the whole path from source to screen.
Data engineering instincts: You've designed schemas and built pipelines that move data reliably from messy sources into clean, queryable form. You think about idempotency, data quality, and what happens when an upstream source changes. Experience with orchestration and warehouse tooling (e.g., Airflow, Dagster, dbt, Snowflake, or BigQuery) is a strong plus. Experience with geospatial or scientific data — raster/vector formats, large file stores, PostGIS, or similar — is also nice-to-have.
Product-minded and collaborative: You can sit with a geoscientist, watch where they get stuck, and translate that into shipped products. You treat stakeholders as partners, working comfortably across teams, keeping people in the loop, surfacing trade-offs early, and building alignment on what to build and why.
Cloud & infrastructure fluency: You're comfortable deploying and operating what you build on a public cloud (AWS or GCP), with containers (Kubernetes) and infrastructure-as-code (e.g., Pulumi and Terraform).
Self-directed and comfortable with unsolved problems: You research options and make recommendations, doing your best work when the problem is real and the constraints are hard. You leverage and delegate to AI, treating modern AI tools as a core part of how you work, handing off tasks to AI agents to use them as a force-multiplier.
Paid holidays
18 days PTO + PTO accrual increase based on tenure
Medical, Dental & Vision coverage
Short term and long term disability
Equity Packages
401k with matching
Paid Parental Leave
