$75 - $80 per hour
Job Description Job Description Senior AI Software Engineer – Agentic AI / PythonJob at a Glance Title: Senior AI Software Engineer – Agentic AI / Python Location: Orlando, FL (onsite 4 days per week) Contract: W2 only,…
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.
176
Open roles today
$37–$92/hr
Typical pay range
$126k
Median, full-time
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Open data engineer roles
12 shown of 176 · sorted by freshness
Job Description Job Description Applied Data Scientist - Contract to HireLocation: Florida (Remote but will need to travel to Orlando... ...ecosystem. The Data Science team partners with data engineering, marketing, prod…
$179.5k - $240.6k
Merchandise lines of business, as well as other initiatives, including MyDisneyExperience and Hey, Disney! As the Senior Manager, Data Engineering, you will lead a team of engineers and product managers responsible for o…
Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with…
$40.89k - $115k
integrity, and responsibility. Brightstar has approximately 6,000 employees. For more information, please visit . Overview The Data Center Operations Analyst II supports the stability, reliability, and continuous operati…
We are seeking a detail-oriented and analytical Data Analyst to collect, analyze, and interpret data that supports business operations and informed decision-making. The ideal candidate will work with cross-functional tea…
$148.3k - $198.8k
MyDisneyExperience app and Hey, Disney! This role sits in the Data Products & Platform organization within Disney Experiences... ...works closely with Product Management, Data Architecture, and Data Engineering delivery…
Job Description Job Description General Description: The Data Engineer will play a critical role within the Information Technology organization, partnering closely with data and analytics leadership to build and optimize…
Job Description Job Description General Description: The Senior Data Engineer plays a critical leadership role within the Information Technology organization, partnering closely with data and analytics leadership to desi…
Description Job Description General Description: The Senior Data Analyst is responsible for leading advanced reporting,... ...closely with executive leadership, business stakeholders, and data engineering teams to delive…
time. Job Description The candidate will design and develop data pipelines, data marts, and schemas to support our data... ...Server Group and other Infrastructure groups) Mentor other Data Engineers Identify software so…
Tomatoes, GolfNow and GolfPass. Job Description This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (... ...and external sources, applying data quality controls, feature engineering techniques,…
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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.
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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
01
Junior Data Engineer
02
Data Engineer
03
Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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