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 · 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.
280
Open roles today
$36–$89/hr
Typical pay range
$123k
Median, full-time
8
Fresh in this list
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01
Open data engineer roles
12 shown of 280 · sorted by freshness
JOB SUMMARY: The Senior Analytics Engineer is responsible for designing, building, and maintaining the enterprise data models that power reporting and analytics across C3 Industries and High Profile Cannabis Shops. Lever…
$61k - $101k
Salary: $61,000 - 101,000 per year Requirements: Formal training or certification in software engineering concepts, with at least 3 years of applied experience Strong data modeling expertise, including modeling tables wi…
$95.5k - $177.5k
is responsible for leading test planning, test execution, and data validation activities that support delivery of high-quality data... ...requirements using data analysis, quality, visualization, governance, engineering,…
$136.6k - $184.8k
we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and... ....You’ll join a diverse team of software, hardware, and network engineers, supply…
$61k - $101k
,000 per year Requirements: We expect formal training or certification in software engineering concepts, along with 5+ years of applied experience with a strong emphasis on data engineering. We need experience developing…
$98.18k - $115.5k
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it tak…
community, but around the world. In the role of Senior Electrical Engineer, we'll count on you to:Lead the Electrical team and collaborate with multidisciplinary project teams throughout all phases of data center and oth…
Job Description As a Lead Data Engineer (Forward Deployed) at JPMorganChase within the Infrastructure Data Platforms team, you will embed with infrastructure product teams to turn how asset and configuration data exists…
Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to support business decision-making. The ideal candidate will have strong analytical skills and experience working with da…
Seeking a Data Center Engineer to deploy, maintain, and support enterprise data center infrastructure. The ideal candidate will have experience with structured cabling, hardware installation, network infrastructure, trou…
Roles and Responsibilities Design, develop, and maintain Oracle PL/SQL applications, database objects, and business logic. Develop and maintain packages, procedures, functions, triggers, and complex SQL queries. Perform…
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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.
05
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.
02
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.
04
Show cost work if you have it — warehouse spend is a live concern and optimization stories differentiate.
05
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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