computer applications using IBM Datastage, MS SQL Server, DB2, Data Warehousing, and Snowflake; take lead role in dealing with users... ...systems, math, or mechanical, electrical, or electronics engineering and five yea…
Engineering & IT · Louisville, KY
Data Engineer jobs in Louisville, KY
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.
47
Open roles today
$34–$85/hr
Typical pay range
$117k
Median, full-time
6
Fresh in this list
No email, no resume, no sign-up. Save any listing below and you start anonymously.
You're signed in. Saving a listing drops it straight into your pipeline.
01
Open data engineer roles
12 shown of 47 · sorted by freshness
organization or a local company attempting to grow within its market. We provide best-in-class consulting, rigorous analytics, and data- driven insights that help organizations make fact-based decisions. As a Talent & Re…
analytics to provide insights that will drive business growth, performance, and efficiencies in a self-service environment. ~ Support data infrastructure by maintaining master data, and updating, or building Tools, Proce…
$40.86 - $50.86 per hour
job summary: We are seeking a skilled Clinical Applications Analyst to join our team in supporting, upgrading, and implementing critical clinical applications and Electronic Medical Record (EMR) systems. This role plays…
Job Title: Analyst - Clinical Applications I System One is seeking a Clinical Applications Analyst for an opportunity in Louisville, KY. Responsibilities Provide problem solving and implementation skills, and/or as a tea…
IDR is seeking a Clinical Applications Analyst to join one of our top clients for an in-office opportunity in Louisville, Kentucky. This role involves supporting clinical applications with a primary focus on WellSky Reha…
Job Title: Information Security Vulnerability Analyst Location: Louisville, KY Job Overview System One is seeking an Information Security Vulnerability Analyst for a long-term opportunity in the Louisville, KY area. Resp…
This role will work within Clinton Memorial Hospital in Wilimington, OH At ScionHealth , we empower our caregivers to do what they do best. We value every voice by caring deeply for every patient and each other. We show…
Description Job Description Overview The Human Resources Information Systems Analyst is responsible for supporting operational data needs in our HR applications including ADP Enterprise, Cornerstone, iCIMS and any future…
$115k - $130k
to a modern, cloud-first, automation-driven model. This Cloud Engineering role advances Infrastructure as Code (IaC), platform standardization... ...services including compute, storage, networking, identity, and data ser…
providing technical expertise, and ensuring the highest standards of data integrity and security. Responsibilities Integration... ...: Apply business process improvement practices and re- engineering methodologies to enh…
$172k - $237k
AI-powered healthcare. We are looking for a Principal Applied AI Engineer, a technical leader who thrives in ambiguous, high-impact... ...workflows at enterprise scale. Drive the engineering of high-quality data, feature…
02
What data engineers earn in Louisville
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $34–$47 | $71k–$98k |
| Mid level | $47–$65 | $98k–$136k |
| Senior | $63–$85 | $132k–$177k |
Adjusted for the Louisville 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.
02
Name your orchestration, processing, and warehouse tools per role; the modern stack (Airflow, dbt, Snowflake) is a keyword screen.
03
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.
06
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
Ten quiet minutes a day
Applying for data engineer jobs in Louisville?
Robbi carries this page into your first day: your role, your city, your shift preference. Then it hands you a few small things each morning and keeps the pipeline honest.
Save what looks right here, then let Robbi hand you a few small things each morning and keep the follow-ups honest.
Start with this search
No email, no resume, no sign-up.
Open your tracker
Everything you saved is already there.