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Engineering & IT · Orlando, FL
Data Engineer jobs in Orlando, FL
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.
69
Open roles today
$37–$92/hr
Typical pay range
$126k
Median, full-time
8
Fresh in this list
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01
Open data engineer roles
12 shown of 69 · sorted by freshness
$50 per hour
assess mission outcomes, operational effectiveness across complex scenarios.Develop, configure, adapt, and employ simulation tools and data sets in support of military training and exercise environments.Support live, vir…
$50 per hour
decisions, mentor junior developers, and partner with AI and AIOps engineers to deliver end‑to‑end, production‑grade solutions that meet... ...server side Node.js Express development.Proven ability to design data rich, a…
$55 per hour
DescriptionKforce has a client in Altamonte Springs, FL that is seeking a Data/ Business Analyst - Engineering. Responsibilities:* Design, develop, and maintain scalable data pipelines supporting consumer intelligence an…
technical documentation related to software development and maintenance activities. • Evaluate program intent, output requirements, data acquisition methods, programming techniques, and system controls to support applica…
$197.6k - $264.9k
advancing operational excellence.Team Description:We are the Finance Engineering & AI team, and we exist to be Finance's technical partner — for... ...teams and budget owners across Disney interact with financial data —…
requirements into effective technical solutions within PeopleSoft.Code, test, debug, and implement solutions using PeopleCode, Application Engine, SQR, BI Publisher, PS Query, and Oracle technologies.Maintain documentati…
$123k - $163k
Salary: $123,000 - 163,000 per year Requirements: Bachelors degree At least 5 years of experience in data engineering, analytics, or a related field Strong SQL skills, including hands-on development of complex queries an…
$85.39k - $116.98k
Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer) - II Location: Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Secu…
digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description The Opportunity As a Data Engineer II , you will help build, maintain, and enhance the data platforms and pipelines that support G…
embraces change, and drives connection in an ever-evolving world. Job Description The Opportunity: As a Senior Data Engineer , you will help lead the design, evolution, and reliability of the data platform supporting Gol…
advanced statistical techniques, including regression analysis, decision trees, predictive modeling, and machine learning. Translate data and quantitative analysis into actionable recommendations for Business Development…
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What data engineers earn in Orlando
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $37–$51 | $76k–$106k |
| Mid level | $51–$71 | $106k–$147k |
| Senior | $68–$92 | $142k–$191k |
Adjusted for the Orlando 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.
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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.
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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