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…
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.
No email, no resume, no sign-up. Save any listing below and you start anonymously.
You're signed in. Saving a listing drops it straight into your pipeline.
Open data engineer roles
12 shown of 51 · sorted by freshness
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…
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(…
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…
: ANA United StatesWork Type: HybridDate Posted: 2026-09-16Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.We are more than 34,000…
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…
sheet and the interest rate risk exposure resulting from those products. This will include ensuring proper capture of balance sheet data, understanding position change drivers, ensuring proper model setup and attribution…
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…
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…
across personas such as Field Sales, KAM, MSLs, or Field Reimbursement ManagersExperience with adjacent Salesforce products such as Data Cloud, Experience Cloud, or MuleSoft based integrationsExperience delivering in a S…
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…
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…
What data engineers earn in Cleveland
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, 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.
What employers ask for
The skills these listings keep naming
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.
Resume tips that move the needle
For data engineers specifically — generic advice costs you here
State data scale plainly — rows per day, terabytes managed, pipeline counts — because it is the first thing hiring managers scan for.
Name your orchestration, processing, and warehouse tools per role; the modern stack (Airflow, dbt, Snowflake) is a keyword screen.
Highlight reliability outcomes: pipeline failure rates, data freshness SLAs met, incident reductions.
Show cost work if you have it — warehouse spend is a live concern and optimization stories differentiate.
Mention who consumed your data (analysts, ML teams, executives) to show you build for users, not just movement.
Where this role goes
Typical progression
Applying for data engineer jobs in Cleveland?
Robbi carries this page into your first day: your role, your city, your shift preference. Then it hands you a few small things each morning and keeps the pipeline honest.
Save what looks right here, then let Robbi hand you a few small things each morning and keep the follow-ups honest.