only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering... ...where people work, connect, and thrive. From high-performance data centers driv…
Engineering & IT · Denver, CO
Data Engineer jobs in Denver, CO
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.
256
Open roles today
$41–$103/hr
Typical pay range
$142k
Median, full-time
7
Fresh in this list
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01
Open data engineer roles
12 shown of 256 · sorted by freshness
$90k - $120k
Exposure to GCP, BigQuery, and Looker Familiarity with GitLab or similar source control tools Responsibilities: Lead regulatory data projects from requirements gathering through implementation Build, enhance, and support…
$83.16k - $118.8k
through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers... ...challenges of constructing and optimizing high-performance data pipelines…
$65 - $75 per hour
DescriptionKforce has a client that is seeking a Data Infrastructure Engineer in Greenwood Village, CO.Summary:We're looking for a Data Infrastructure Engineer to build and optimize scalable data pipelines that support d…
$110.8k - $196.4k
provides service to millions of customers across the US. The Network Engineering team is responsible for the implementation of approved network... ..., and strategic evolution of our Hadoop-based big data platform. This…
our impact on the world?Watch Our Story:' We believe building engineering is more than systems and structures, it’s about powering progress... ...where people work, connect, and thrive. From high-performance data centers…
ourselves: What is our impact on the world?We believe building engineering is more than systems and structures, it’s about powering progress... ...where people work, connect, and thrive. From high-performance data center…
$83.16k - $118.8k
Organizations face growing complexities in managing and scaling data infrastructure for modern analytics and emerging AI initiatives... ...machine learning models and large language model consumption. Engineering teams m…
$125k - $145k
position will be in-office 5 days a week to support operations. Job Description We are seeking an experienced Senior Data Engineer to join our dynamic data team. The ideal candidate has a deep background in designing, bu…
$120k - $155k
Location: Lakewood, CO, Onsite Reports to: Director of Data & Systems Infrastructure About the Role Bloom Healthcare is looking for a Data Engineer to build, manage, and maintain the pipelines and data infrastructure tha…
$190k - $220k
as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, a…
$40 - $60 per hour
Location: Onsite in Denver, CO W2 only Senior Data Engineer Requirements: ~8+ years experience with BI tools (Power BI, Tableau, Amazon QuickSight). ~8+ years in data engineering (ETL, data transformation, automation). ~…
02
What data engineers earn in Denver
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $41–$57 | $86k–$119k |
| Mid level | $57–$79 | $119k–$165k |
| Senior | $77–$103 | $160k–$215k |
Adjusted for the Denver market from national ranges.
03
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
04
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
01
Junior Data Engineer
02
Data Engineer
03
Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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