$96.96k - $145.44k
Technology, Applications DevelopmentCompany: CitiAre you a Java virtuoso who sees code as a craft? Do you thrive on transforming complex data into powerful, elegant backend solutions? We're looking for a Senior Java Deve…
Engineering & IT · Tampa, FL
Data Engineer jobs in Tampa, 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–$93/hr
Typical pay range
$128k
Median, full-time
9
Fresh in this list
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01
Open data engineer roles
12 shown of 176 · sorted by freshness
Want in? Join the #VTeamLife.What you'll be doing: Verizon’s Exposure and Vulnerability Management (EVM) Engineering and Reporting team is seeking a Sr. AI and Data Engineer to lead the development of our security data a…
trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of... ...communities around the globe.Jabil is seeking a Senior Labor Data/ Reporti…
OverviewThe Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data- first approach to engineering and value-stream managem…
OverviewThe Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data- first approach to engineering and value-stream managem…
Requirements We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and... ....Develop and integrate APIs for Gen AI orchestration and data analyti…
Have Technical/Functional Skills 1. Strong experience in Kafka, Spark, Scala,SQL ,Hive, Impala, Hadoop, Splunk, Autosys . 3. Data Analysis and Data Wrangling skills when dealing with Huge Volume. 4. Performance analysis,…
$87.5k - $131.1k
role, you will own the full analytics lifecycle, from building data pipelines and writing structured SQL queries in AWS Redshift, to... ...partnership across revenue, product, operations, and engineering teams, a commitm…
Job title: IT: Desktop Support AnalystLocation: 6 monthsDuration: Tampa FL 33602Job Description: Provide personalized service to Business Partners by identifying source of customer technology-related problems and providi…
$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…
$140k - $203k
Job Overview: MUFG is seeking a highly motivated Security Data Architect & Governance person to be part of the Program Governance... ...equally preferable. Key Functions: Data architecture, engineering and analytics usin…
$92k - $130k
JOB DESCRIPTION SUMMARY Greystar's D²AI organization ( Data, Digital, and AI) is responsible for the platforms, processes,... ...tools in your day-to-day work, and partnering effectively with engineering, analytics, and…
02
What data engineers earn in Tampa
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $37–$51 | $77k–$107k |
| Mid level | $51–$71 | $107k–$148k |
| Senior | $69–$93 | $144k–$193k |
Adjusted for the Tampa 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
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.
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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
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Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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