$130k - $170k
Company Founded by CPAs, tax attorneys, and engineers, Taxbit is the leading innovator automating global tax reporting for the digital... ...agentic systems that operate autonomously, reason across complex data, and deli…
Engineering & IT · Salt Lake City, UT
Data Engineer jobs in Salt Lake City, UT
Data engineers build the pipelines and warehouses that move data from source systems to the people and models that need it, keeping it fresh, correct, and queryable at scale.
54
Open roles today
$38–$97/hr
Typical pay range
$133k
Median, full-time
4
Fresh in this list
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01
Open data engineer roles
12 shown of 54 · sorted by freshness
Job Title: Platform Engineer (DevOps) Location: Salt Lake City, UT Responsibilities • Design, build, and optimize enterprise CI/CD pipelines using GitHub Actions and other modern DevOps platforms • Administer enterprise…
$72k - $115k
governments realize their greatest potential. Title and Summary Data Scientist I Who is Mastercard? As a global technology... ...development to deployment support. 2. Work closely with data engineers and developers to bu…
$70.8k - $123.8k
Junior AI Engineer Position Description Launch Your AI Career with CGI Are you passionate about Artificial Intelligence and excited... ...tools to integrate AI applications with enterprise systems and data sources * Cont…
want to shape the mobility of tomorrow with us. Are you ready to achieve great things with us? HOW YOU CAN MAKE AN IMPACT The Data Analyst is responsible for collecting, analyzing, and interpreting manufacturing and supp…
innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on... ...Science, Software Engineering, Artificial Intelligence, Data Science, or a r…
share our passion, and want to spend their careers making a difference in education. We are currently seeking a full-time, in office, Data Governance Analyst for our West Jordan, UT location As a Data Governance Analyst,…
$62k - $92k
we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to... ...work (LIMS). Enter and review analytical results, including data from third-p…
$89.6k - $156.7k
Senior Full Stack Java Engineer Position Description CGI is seeking a highly skilled Senior Full Stack Java Engineer to join our CGI team! This position is based onsite at a client location in the Salt Lake City, UT area…
$79.6k - $139.3k
Senior Data Engineer (Databricks & Cloud Analytics) Position Description Are you passionate about building modern data platforms that enable organizations to make smarter, faster decisions? Do you thrive on solving compl…
$140k - $231k
governments realize their greatest potential. Title and Summary Lead Data Scientist Who is Mastercard? Mastercard is a global... .... Leverage best practices in machine learning and data engineering to develop scalable s…
communication and internal cross collaboration with our Product and Engineering organization. As a technical point of contact, you will be... ...versus shutting down ideas Preferred Qualifications: Basic data analytics o…
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What data engineers earn in Salt Lake City
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$53 | $80k–$111k |
| Mid level | $53–$74 | $111k–$154k |
| Senior | $72–$97 | $149k–$201k |
Adjusted for the Salt Lake City market from national ranges.
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What employers ask for
The skills these listings keep naming
SQL and data modelingPython or ScalaAirflow or similar orchestrationSpark or other batch processingWarehouses (Snowflake, BigQuery)dbtStreaming (Kafka)Data quality testingCloud infrastructure
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Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Design a pipeline that loads data from a production database into a warehouse daily.
Cover extraction strategy, incremental loads versus full refresh, idempotency, and monitoring. Saying how you would backfill after a failure shows real pipeline experience.
How do you handle late-arriving or duplicate data?
Discuss idempotent upserts, watermarks, and dedup keys. This is a daily reality of the job, so a concrete example lands well.
Batch or streaming — how do you decide?
Anchor on the actual freshness requirement and cost. Most 'real-time' asks are fine at minutes; recognizing that is the mature answer.
A stakeholder says the numbers in their dashboard are wrong. Walk me through your debugging.
Trace lineage from the dashboard back to the source, isolating which layer diverged. Showing calm, structured lineage-tracing is the point of the question.
How do you model data for analytics — star schema, wide tables, something else?
Show you know the classic patterns and modern warehouse economics, and that you choose based on query patterns and team skill, not doctrine.
How do you test data pipelines?
Talk about schema and freshness checks, row-count and distribution tests, and tools like dbt tests or Great Expectations — plus alerting when they fail.
Tell me about a pipeline that failed badly and what you changed.
Structure it like an incident review: impact, cause, fix, prevention. Emphasize the durable improvement, such as monitoring or contract enforcement.
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Resume tips that move the needle
For data engineers specifically — generic advice costs you here
01
State data scale plainly — rows per day, terabytes managed, pipeline counts — because it is the first thing hiring managers scan for.
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Name your orchestration, processing, and warehouse tools per role; the modern stack (Airflow, dbt, Snowflake) is a keyword screen.
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Highlight reliability outcomes: pipeline failure rates, data freshness SLAs met, incident reductions.
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Show cost work if you have it — warehouse spend is a live concern and optimization stories differentiate.
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Mention who consumed your data (analysts, ML teams, executives) to show you build for users, not just movement.
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Where this role goes
Typical progression
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Junior Data Engineer
02
Data Engineer
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Senior Data Engineer
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Staff Data Engineer
05
Data Platform Lead
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