Full-Stack Software Engineer, Platform Data

Zanskar Geothermal & Minerals, Inc.

Full-Stack Software Engineer for geothermal startup organizing data systems and building user-facing applications. Engaging with various teams to ensure data solutions meet stakeholders' needs.

Posted 7/30/2026full-timeSalt Lake City • Utah • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack development, including backend data systems and user-facing applications, with a strong focus on data engineering, cloud infrastructure, and collaboration with stakeholders to deliver impactful solutions.

Highest-signal resume keywords

Python ProgrammingSQL Database ManagementTypeScript DevelopmentReact FrameworkData Pipeline Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSchema DesignAPI DevelopmentFrontend DevelopmentBackend DevelopmentData Quality AssuranceOrchestration ToolsCloud DeploymentInfrastructure as CodeGeospatial Data Handling

Soft Skills

Collaborative Problem SolvingStakeholder EngagementSelf-DirectionCommunicationProduct Mindset

Tools & Technologies

AWSGCPKubernetesAirflowDagsterDbtSnowflakeBigQueryPulumiTerraform

Industry Keywords

Data IngestionData ModelingData QualityIdempotencyPublic CloudContainersAI ToolsGeoscienceRaster DataVector Data

Tech Stack

Tools & technologies

AirflowAWSBigQueryCloudGoogle Cloud PlatformKubernetesPostGISPythonReactSQLTerraformTypeScript

About the role

Key responsibilities & impact

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.
Build the web apps which deliver that data to stakeholders including dashboards, internal applications, and other interfaces.
Own features end to end: designing system architecture, pipelines, APIs, and frontends, while being accountable for ensuring the entire system runs smoothly.
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.

Requirements

What you’ll need

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

Comp & perks

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