rate,weretrusted to deliver transparency, cost savings, and peace of mind. WhatWereLooking For VPL is looking for a hands-on Data Engineer who can combine strong engineering fundamentals with analytical problem-solving.…
Engineering & IT · Columbus, OH
Data Engineer jobs in Columbus, OH
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.
1,218
Open roles today
$36–$89/hr
Typical pay range
$123k
Median, full-time
5
Fresh in this list
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01
Open data engineer roles
12 shown of 1,218 · sorted by freshness
AECOM is seeking a highly skilled Mechanical Engineer for the Data Center and Mission Critical team, primarily remote within the U.S. The role focuses on HVAC design for data centers, CFD analysis, and integrating coolin…
$105.5k - $175.9k
Bachelors degree in Computer Science, Information Systems, or a related field Minimum of 4 years of relevant experience in data engineering, analytics engineering, or modern data platforms Proficient in cloud data techno…
Role: Senior Data Engineer/ Data Engineer Location: Columbus, OH Duration: 6 Months Job Description Technology Stack Reference: Development activities will primarily leverage Snowflake, Matillion, AWS Services (S3, Lambd…
none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Job Title Lead Data Engineer (Senior Programmer/Analyst) Location Columbus, OH (Onsite) Job Summary STAFFXPERT LLC…
Job Description Job Description Description: Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishin…
$150k - $165k
Manager of Data Engineering Overview A leading enterprise organization is seeking a Manager, Data Engineering to lead a team responsible for delivering modern data solutions that support Finance and Supply Chain business…
Job Description Job Description Analytics Engineer, Care Operations Full Time – Exempt Columbus, Ohio AndHealth is on a mission... ...to the care they deserve. None of that happens without good data. Every model we build…
Centers and training locations in the United States, Canada, France and the United Kingdom. Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for architecting, developing, and guiding…
Data Testing-SQL Designs and executes comprehensive data quality testing strategies for ETL, Big Data, and data-intensive applications, including BAO, MDM, and data migrations. Develops a deep understanding of business r…
Data Engineer Full Time Columbus, OH About Andhealth AndHealth is a healthcare technology company created to radically improve access and outcomes for the most challenging chronic health conditions. We are driven by the…
Job Description Job Description Network Data Engineer Columbus, OH ( On-Site) OR Merrillville ,Indiana or Hammond , Indiana Long Term Tax Terms : W2 / 1099 Only **Interview Process ** 1 st Round of Interview : Video Inte…
02
What data engineers earn in Columbus
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $36–$50 | $74k–$103k |
| Mid level | $50–$68 | $103k–$142k |
| Senior | $66–$89 | $138k–$185k |
Adjusted for the Columbus 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
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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