Engineering & IT · Cleveland, OH

Data Engineer jobs in Cleveland, 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.

51
Open roles today
$35–$86/hr
Typical pay range
$119k
Median, full-time
12
Fresh in this list

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01

Open data engineer roles

12 shown of 51 · sorted by freshness

Senior Data Engineer - Fusion Experience

Oracle · Cleveland, OH · Full-time
$102.3k - $209.5k

roles may require compliance with applicable health, immunization, or drug testing requirements. Responsibilities: We identify data requirements and project goals with cross-functional teams. We design and build data pip…

Posted yesterday
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PROJECT - Data Engineer II

Deloitte · Cleveland, OH
$71.3k - $140.6k

Position Summary Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant... ...fuel growth through innovation. Work you'll do As a PROJECT - Data Engineer…

Posted 2d ago
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EBI Database Developer II

Cleveland Clinic · Cleveland, OH
$69.6k - $106.13k

and the analysis, design, and creation of new databases.Perform data modeling, database optimization, understanding and... ...future caregiver include: Bachelor’s degree in Computer Science, Engineering or related field(…

Posted 2d ago
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Research Data Scientist I - Cole Eye

Cleveland Clinic · Cleveland, OH
$69.6k - $106.13k

respected healthcare organizations in the world. As a Research Data Scientist, you will utilize statistical, mathematical and predictive... ...Statistics, Economics, Mathematics, Physics, Computer Science, Engineering or…

Posted 2d ago
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OneStream Senior Developer

Accenture · Cleveland, OH

security configurationsMinimum of 2 years experience developing business rules in VB.net or C#Minimum of 2 years experience developing Data Management sequences and stepsMinimum of 3 years report & dashboard developmentM…

Posted 2d ago
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Rovo & AI Prompt Engineer

Accenture · Cleveland, OH

processes that run it. That work changes the operating model an engineering organization runs on, the ways of working underneath it, and... ...We combine our strength in technology and leadership in cloud, data and AI wi…

Posted 3d ago
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Financial Crimes - Senior Data Scientist

KeyBank · Cleveland, OH
$94k - $175k

Location:4910 Tiedeman Road, Brooklyn OhioABOUT THE JOB (JOB BRIEF)Under manager’s supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. L…

Posted 4d ago
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Front End Developer

Robert Half · Cleveland, OH

focuses on building scalable frontend applications, shaping reusable UI standards, and improving maintainability through thoughtful engineering practices. The ideal candidate brings strong React expertise, deep knowledge…

Posted 4d ago
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02

What data engineers earn in Cleveland

Hourly first — that's how the offer arrives

ExperienceHourlyAnnual, full-time
Entry level $35–$48 $72k–$99k
Mid level $48–$66 $99k–$138k
Senior $64–$86 $133k–$179k

Adjusted for the Cleveland 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.

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.

03

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.

06

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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