Full-Stack Software Engineer, Platform Data

Jobtailor

Salt Lake City (UT)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Jobtailor in Salt Lake City is seeking a Senior Data Engineer to design and operate data pipelines and build the web apps that present data to stakeholders.

You will own features end-to-end—from source to screen—collaborating with geoscience teams, ensuring data quality, and delivering scalable solutions on AWS or GCP with Kubernetes and IaC tooling. You will leverage AI-assisted workflows to accelerate delivery and maintain observability and security across the stack.

Qualifications

Full-stack backend and frontend experience with end-to-end ownership.
Data engineering: pipelines, schemas, data quality, and idempotency.
Collaborative product-minded approach with stakeholders.
Cloud and IaC fluency, containerized deployments.
Ability to work independently and leverage AI tools.

Responsibilities

Design and operate end-to-end data pipelines.
Build dashboards and internal apps to deliver data.
Collaborate with geoscience teams to translate questions into data products.
Own system architecture, pipelines, APIs, and frontend interfaces.
Ensure data quality, idempotency, and observability.

Skills

Full-stack development

Python

SQL

TypeScript

React

Data engineering

Cloud infrastructure

Kubernetes

Airflow

Dagster

dbt

Snowflake

BigQuery

Pulumi

Terraform

Geospatial data handling

Tools

Airflow

Dagster

dbt

Snowflake

BigQuery

Kubernetes

Pulumi

Terraform

AWS

GCP

PostGIS

Job description

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

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.

Core Competencies

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.

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