$104k - $208k
bachelors degree, either completed or currently in progress. We prefer prior experience as a Software Developer, Coder, Software Engineer, or Programmer. We can only offer this opportunity to candidates located in the US…
Engineering & IT · Oklahoma City, OK
Data Engineer jobs in Oklahoma City, OK
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.
61
Open roles today
$33–$84/hr
Typical pay range
$115k
Median, full-time
2
Fresh in this list
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Open data engineer roles
11 shown of 61 · sorted by freshness
Teleflora provides innovative marketing, education, and technology to make sure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to customers’ doorsteps…
someone who thrives at the intersection of HR, Operations and data, and who can turn workforce data into actionable insights that... ...data models to support scalable analytics solutions Utilize engineered labor standar…
up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * Welcome to Love's: The Data Engineer II designs, builds, and supports scalable data solutions that advance Love’s enterpri…
or other scripting tools where appropriate to automate repetitive tasks and improve operational workflows. Collaborate with engineers, project teams, and leadership on technical improvements and client outcomes. Mentor a…
$70k - $90k
Job Title: Data Solutions Developer Location: Oklahoma City, OK Pay Range : $70,000 - $90,000 / year depending on experience Benefits: The position is eligible for medical, dental, vision, and 401(k). ** Onsite requireme…
Job Summary The Master Data Analyst specializes in the development and implementation of data automation to improve business efficiency and has an extensive working knowledge across all areas of SAP master data managemen…
$125k - $150k
Data Engineer Direct Hire * Must be authorized to work in the United States now and in the future without assistance* Pay: $125,000 - $150,000 base salary + annual discretionary bonus Edmond, OK - Hybrid schedule with fl…
Competitive Pay * Career Development * Welcome to Love's: The Data Scientist plays a critical role in advancing Love’s customer... ...automate reporting and analytical workflows Work with data engineering to build scalab…
$95k - $105k
database tables, views, indexes, and stored procedures in Microsoft SQL Server • Develop, optimize, and maintain SSIS packages for data import and transformation processes • Ensure data integrity and consistency througho…
EHR system management, ensuring compliance with regulatory requirements, industry standards, and organizational policies related to data security, privacy, and confidentiality. Provide leadership and mentorship to junior…
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What data engineers earn in Oklahoma City
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $33–$46 | $69k–$96k |
| Mid level | $46–$64 | $96k–$134k |
| Senior | $62–$84 | $129k–$174k |
Adjusted for the Oklahoma City 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
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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
05
Data Platform Lead
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