architecture| Service Fulfilment (Provisioning and Activation) OSS/BSS integration| CMDB| network inventoryEvent-driven and real-time data architectures (Kafka| REST APIs) Essential Skills: Technical: SPARQL| RDF| OWL| s…
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.
428
Open roles today
$41–$103/hr
Typical pay range
$142k
Median, full-time
3
Fresh in this list
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01
Open data engineer roles
12 shown of 428 · sorted by freshness
skilled professional with strong expertise in SQL, Python, Spark, and leading AI/ML frameworks to design and build scalable, intelligent data solutions. The ideal candidate will have hands-on experience with big data pla…
$96.25k - $137.5k
Responsibilities The People Analytics team seeks to empower data- informed decisions across the organization, transform HR... ...certifications in HR, Data Science, Computer Science, or Data Engineering Management consul…
$125k - $140k
plans for dependent care, transportation, and flexible spending Position Summary We are growing our Platform Engineering team and are looking to add a Data Engineer who will be able to help build our internal data platfo…
$125k - $170k
Position: Data Engineer Location: Centennial, CO Clearance: TS/SCI Required Grey Matters Defense Solutions stands at the forefront of developing advanced software solutions tailored to support the mission of the U.S. war…
$110k - $120k
availability and price of linear inventory – powered by automation, data, and expert media stewardship. The result: more effective reach... ..., pragmatic, analytical individuals. We’re full-lifecycle data engineers - ea…
* **Mechanical Engineering Process Architect** _(my preferred title)_ Below is a Fortune 500-caliber job description focused on building... ...organization. Fluent Conveyors is building one of the most data- driven conve…
$160k - $200k
Job Description Job Description Description TL;DR Kharon is seeking a full-time Senior Data Engineer based in Denver, Colorado. This role requires in-office attendance 3 days a week. RESPONSIBILITIES: Help build large-sc…
Job Description Job Description Windfall is seeking a Sr. Data Engineer to join our data team. As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is bui…
$90k - $107k
Job Description Job Description SUMMARY: The Data Engineer at Hercules Industries is responsible for building, governing, and continuously improving the data foundation that powers decision-making across supply chain, op…
$135k - $165k
Job Description Job Description Position Summary We are seeking a highly motivated and technically skilled Senior Data Engineer to join our Application Development team. Reporting directly to the SVP, Application Develop…
$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). ~…
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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.
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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
01
Junior Data Engineer
02
Data Engineer
03
Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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