Full-Stack Software Engineer, Platform Data

Zanskar

Salt Lake City (UT)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Paid holidays

18 days PTO + accrual increase based

Medical, Dental & Vision coverage

Short term and long term disability

Equity Packages

401k with matching

Paid Parental Leave

Job summary

Zanskar in Salt Lake City, Utah is seeking a Full-Stack Software Engineer to join the Platform Data team. You will design and operate data pipelines, build data-driven web apps, and own features end-to-end from source to screen.

We value fluency in Python/SQL on the backend, TypeScript/React on the frontend, and hands-on experience with cloud and infrastructure tooling. This on-site role offers hybrid flexibility and impact on geothermal data initiatives.

Qualifications

Experience designing and operating data pipelines and APIs.
Backend in Python/SQL and frontend in TypeScript/React.
Familiar with data modeling, quality, idempotency, and upstream changes.
Experience with orchestrators and data warehouses is a strong plus.

Responsibilities

Design and operate data pipelines ingesting multiple data sources.
Build dashboards and internal apps to present data to stakeholders.
Own features end-to-end from architecture to front-end delivery.
Collaborate with geoscientists, engineers, and data scientists to ship value.

Skills

Full-stack

Data pipelines

Product-minded

Cloud infrastructure

AI-assisted work

Tools

Airflow

Dagster

dbt

Snowflake

BigQuery

PostGIS

Kubernetes

Pulumi

Terraform

Job description

Role Overview

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

Mission – Why we exist and why we need you

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.

Outcomes - Problems you'll solve

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.

Competencies – What we're looking for

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.

Benefits