Title: Google Cloud Platform Data Engineer Location: Remote (Preferably from Cleveland, OH) Duration: 6+ Months Summary Seeking a Google Cloud Data Engineer to join a talented team to build a new and exciting data produc…
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.
86
Open roles today
$35–$86/hr
Typical pay range
$119k
Median, full-time
3
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Open data engineer roles
12 shown of 86 · sorted by freshness
Job Description Job Description POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work cl…
Job Title: Lead Database Engineer Location: Cleveland, OH, Pittsburgh, PA, or Dallas, TX, Onsite Duration: Full Time(onsite) Required Qualifications: 7+ years of database administration experience in enterprise productio…
Midwestern IT! We offer online training and placement opportunities through direct marketing, and we are currently hiring for Data Analyst and Business Analyst roles. Job Title: Business Analyst / Data Analyst Job Type:…
Alternative Work Schedule - Sunday to Thursday This position will require you to be in Cleveland, OH We are in a hybrid schedule, 2 days on campus and 3 days WFH The Technical Support Specialist's responsibilities includ…
world. As a Principal Biostatistician Team Lead, you will serve as the team leader for a collaborative group of biostatisticians, data managers, data entry personnel and programmers by providing mentorship, evaluating pe…
$65k - $75k
~ Support Active Directory, GPOs, and Windows Server administration. ~ Work with backup solutions (Datto, Veeam) and assist with data recovery. ~ Support cloud-based and virtual desktop environments (Azure Virtual Deskto…
POSITION SUMMARY Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop, and deploy enterprise-scale AI... ...(RAG), and enterprise data systems. Collaborate with data engineers, software engin…
$98.7k - $157.92k
Basis , security and functional teams. Proficient in performance tuning and optimization of ABAP programs. Solid understanding of data structures, algorithms, and object-oriented programming principles. Strong analytical…
oversee the end-to-end design, implementation, and optimization of data pipelines supporting key customer onboarding, transaction, and... ...teams to translate business requirements into scalable data engineering solutio…
Job Description Job Description WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk... ..., analytics, and optimization briefs. Partner closely with engineers to ensure data…
Job Description Job Description WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk... ...clients. If this sounds exciting to you, let's chat! SENIOR DATA ENGINEER We are lo…
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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.
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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
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Junior Data Engineer
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Data Engineer
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Senior Data Engineer
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Staff Data Engineer
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Data Platform Lead
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