Senior Data Engineer — Remote, Equity, Flexible PTO

Jump; Salt Lake City (UT); On-site; USD 190,000 - 210,000; Full time

Benefits offered by this job

Remote first

Competitive salary and equity

Flex PTO policy

401(k)

Health, dental and vision plans

16 weeks paid parental leave

Tech/work setup reimbursement

Learning and development reimbursement

Sustainability subscription

Job summary

Jump is seeking a Senior Data Engineer to join our nimble Data team, owning the reliability and performance of a Snowflake/dbt-powered stack. You'll build pipelines and models that make data trustworthy and usable—from internal dashboards to client-facing products.

This hands-on role spans data platform, analytics engineering, and data infrastructure as Jump scales. You will work across the stack, solve problems end-to-end, and help shape architecture and data practices.

Qualifications

• 6+ years of data engineering experience.
• Strong production-grade SQL and Snowflake expertise.
• Deep experience with dbt, including testing, documentation, dependencies, and deployment.
• Software engineering discipline — Git-based version control, CI/CD for data pipelines, and strong Python skills for building data pipelines.

Responsibilities

• Build and maintain ELT pipelines that turn raw data into modular, well-tested dbt models inside Snowflake.
• Design and maintain reliable data orchestration and workflows as the platform grows.
• Write and maintain dbt tests that catch issues before they reach a critical point.
• Document models and sources so the meaning of our data is discoverable.
• Build monitoring and alerting that surfaces pipeline failures and data anomalies.

Skills

SQL

Snowflake

dbt

Python

Data pipelines

CI/CD

Tools

dbt

Snowflake

Job description

Jump is seeking a Senior Data Engineer to join our nimble Data team, owning the reliability and performance of a Snowflake/dbt-powered stack. You'll build pipelines and models that make data trustworthy and usable—from internal dashboards to client-facing products.

This hands-on role spans data platform, analytics engineering, and data infrastructure as Jump scales. You will work across the stack, solve problems end-to-end, and help shape architecture and data practices.