***** **** We are unable to sponsor candidates at this time. ***** Hybrid onsite in Memphis Overview Seeking a Data Infrastructure Engineer to support and optimize SQL Server environments while developing automation solu…
Engineering & IT · Memphis, TN
Data Engineer jobs in Memphis, 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.
53
Open roles today
$33–$83/hr
Typical pay range
$114k
Median, full-time
3
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
9 shown of 53 · sorted by freshness
TEKsystems is seeking Forward Deployed Engineers to support rollout of data‑ driven supply chain solutions. These roles blend software engineering, solutions architecture and technical consulting, building bridges betwee…
Performs data analytics and analysis utilizing Excel, SQL and/or SAS to ensure accurate pay in accordance with the crew’s collective bargaining agreement (CBA). Responsible for planning, overall coordination, status repo…
Position: Service Engineer (Data Center) Location: Memphis, Tennessee 38118 Duration: 4+ months Job ID: 178583 Job Overview: The Service Engineer will be responsible for providing technical support, maintenance, and trou…
$97.73k - $162.88k
Req ID: 382980 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 AWS ETL Data Engineer - HYBRID…
knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate... ...receiving, storage, movement, and presentation of materials for all data ce…
knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate... ...supporting the rapid build-out of large-scale compute clusters and data cen…
Job Description Job Description Salary: Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and platform infrastructure within a medal…
Job Description Job Description Job Overview: The Field and Data Civil Engineer- In-Training Level I plays a critical role in ensuring the success of engineering projects through fieldwork, data management, and adherence…
02
What data engineers earn in Memphis
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $33–$46 | $69k–$95k |
| Mid level | $46–$63 | $95k–$132k |
| Senior | $62–$83 | $128k–$172k |
Adjusted for the Memphis 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 Memphis?
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.