$70 - $80 per hour
Data Engineer LaSalle Network is hiring for a Data Engineer with a client that is focused on government solutions and consulting services. LaSalle Network is partnering with our client to hire a Data Engineer in Brentwoo…
Engineering & IT · Nashville, TN
Data Engineer jobs in Nashville, TN
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.
95
Open roles today
$38–$94/hr
Typical pay range
$129k
Median, full-time
7
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 95 · sorted by freshness
Data & Analytics Engineer, ServiceNow - Nashville, 37203, United States of America How we LEAD: The Data & Analytics Engineer, ServiceNow is responsible for delivering trusted reporting, insights, and performance measure…
$60k - $145k
in the life sciences industry. The Migration Consultant will lead customer migration implementations by providing expertise with data and document content migration, Vault API, Vault migration tools, and Vault Platform b…
$58 per hour
Data Engineer Location: Brentwood, TN (Hybrid) Position Type: 12-Month Contract Schedule: Full-Time, 40 Hours per Week (Monday-Friday) Pay Rate: $58/hr About the Opportunity We are looking for a Data Engineer to join a g…
$225k - $265k
,000 active projects valued at more than $300 billion. Learn more at [ getbuilt.com .]( Built is looking for a Senior Engineering Manager, Data to lead our growing data organization. In this role, you will guide a high-i…
$170k - $245k
active projects valued at more than $300 billion. Learn more at [ getbuilt.com .]( Built is looking for a Staff Software Engineer to join our Data Platform team and lead the next generation of customer-facing data produc…
$102.68k - $171.13k
Req ID: 384928 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to... ...organization, apply now. We are currently seeking a Senior Oracle Data Engineer -…
$123k - $163k
Salary: $123,000 - 163,000 per year Requirements: ~7+ years of experience in data engineering for DE III role ~3-7+ years of experience in data engineering for DE II role ~ Advanced to expert-level proficiency in SQL, wi…
$25 - $35 per hour
Job Overview Job Title: Data Entry Analyst Company: Mountain View Inc. Location: Nashville, Tennessee, United States Employment Type: Full-Time Salary: $25 - $35 USD per hour Mountain View Inc. is a trusted importer and…
a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data- focused clinical research organization (CRO). We pride ourselves on being a Great…
$70.8k - $156.7k
Data & Analytics Engineer Position Description Do you want to take your career to the next level? CGI is looking for a dedicated and experienced Data and Analytics Engineer with a passion for solving business problems to…
$66k - $105k
JOB DESCRIPTION Job Title Demand Generation Data Analyst Job Description We’re seeking a marketing analytics professional who partners cross‑functionally to deliver advanced, AI‑driven insights across campaigns and the f…
02
What data engineers earn in Nashville
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$52 | $78k–$108k |
| Mid level | $52–$72 | $108k–$150k |
| Senior | $70–$94 | $145k–$195k |
National ranges — pay in Nashville typically tracks these.
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 Nashville?
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.