with a deep understanding of Kubernetes and containerization in an on-premises environment. This individual will collaborate across engineering, development, and operations teams to ensure that our platform and tools hel…
Engineering & IT · Jacksonville, FL
Data Engineer jobs in Jacksonville, 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.
58
Open roles today
$35–$88/hr
Typical pay range
$121k
Median, full-time
9
Fresh in this list
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01
Open data engineer roles
12 shown of 58 · sorted by freshness
We are looking for a QA Analyst to support software testing initiatives for a high-visibility enterprise program in Jacksonville, Florida. This role partners closely with development and program teams to ensure applicati…
$85.39k - $116.98k
Syms Strategic Group (SSG) is seeking a talented Data Platform Engineer Location: Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Security Clearance Level: Public Trust (MBI) Salary…
$118.7k - $243.7k
sustainment of zero trust architectures to safeguard critical assets and data against emerging cyber threats.Serve as the subject matter... ...and Firewall Teams, Application Teams, Server Teams, Cloud Engineering Teams…
opportunities to drive ongoing education. Learn more about our purpose and how you can bring it to life as an Ameris Bank teammate. The Data Governance Analyst is responsible for supporting the Enterprise Data Governance…
$64.5k - $82.5k
evaluations of purchased products Apply IT controls to protect the confidentiality, integrity, and availability of applications and their data Troubleshoot and improve agent performance and reliability Review code and me…
$80.46k - $142.72k
is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.We are... ...you will lead the electrical discipline of multiple concurrent data center pr…
We are looking for a Cloud Engineer to join a service organization in Jacksonville, Florida in a contract capacity with the potential to... ...cloud operations by applying sound controls for access, compliance, data prot…
Cloud Landing Zones 1st preference is AWS Need hands-on cloud engineering exp. (design and deploy cloud platform and services). We are... ...requests from systems/software owners • Collects and presents data for reportin…
$92k - $118k
We look for 3+ years of relevant professional experience. Alternatively, we consider 1.5 years of experience in an Associate Data Engineer role or in data analytics. We require experience with Posit/R. We require experie…
Job Title: Engineering - Core Engineer Jacksonville, FL Onsite Start/End Dates: 10/6/2026 - 10/5/2027 Job Description: The role Senior hands-on engineer to own a data and event backbone - how events flow, and how live an…
Title: MCPP Philippines: Engineer Process Control Analyst Belong, Connect, Grow, with KBR! Program Summary The Marine Corps'... ...Task Order by implementing the following: Collect and analyze data to make decisions that…
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What data engineers earn in Jacksonville
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $35–$49 | $73k–$102k |
| Mid level | $49–$68 | $102k–$141k |
| Senior | $65–$88 | $136k–$183k |
Adjusted for the Jacksonville 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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