$51.75k - $69.75k
network and system administration tasks as assigned by the Director of IT. Ensure compliance with FirstLine’s technology policies and data security best practices. Work directly with and manage vendors as directed by Dir…
Engineering & IT · New Orleans, LA
Data Engineer jobs in New Orleans, LA
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.
14
Open roles today
$35–$88/hr
Typical pay range
$121k
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
12 shown of 14 · sorted by freshness
$68.08k - $118.19k
Req ID: 384836 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are…
Location: Louisiana, LA Client: CGI Visa: ANY JD: The Application Development Senior Advisor is EDI full stack engineer who designs, develops, and integrates solutions to solve business and technical requirements across…
$22 - $24 per hour
Assurance programs and SOP’s and must be knowledgeable of both job-specific routine and complex analyses. The analyst validates and reviews data for accuracy, and uploads laboratory data into the LIMS that ultimately gen…
$115k - $150k
$150,000 Remote Details: Fully Remote, Working Business Hours Central Time Role Summary Seeking highly independent senior engineers who can combine software development, business analysis, client consulting, and sales en…
authority for natural gas measurement operations and volumetric data governance across the utility system. Establishes system-wide... ...required of the position ~ Preferred: Associate degree in engineering technology, e…
JOB SUMMARY/PURPOSE The Tax Accounting Analyst supports the Company’s tax accounting and compliance processes across multiple jurisdictions. This position assists with the preparation, accrual, reporting, and payment of…
technical teams and business stakeholders to ensure project requirements are clearly understood. Analyze business and operational data to identify trends, anomalies, and opportunities for improvement. Create and maintain…
analyze billing and payment performance reports. Support internal and external audits by providing accurate billing and payment data. Collaborate with IT, regulatory and finance teams to implement system enhancements and…
We are looking for a Remote Business Analyst to identify business needs, analyze data, and propose efficiency improvements. The candidate will collaborate with stakeholders and IT teams to gather requirements, document p…
and cross functional collaboration with OI&T - HIMS - Clinical Engineering - AOs/ADPACs - and clinical leadership ~ Reference: For more... ...with VHA Office of Health Informatics - Clinical Informatics and Data Manageme…
Support Services Technician I Company: BramTech Solutions, Inc. Location: New Orleans, LA About Us: BramTech Solutions is a leading IT services company based in New Orleans, Lousiana. We specialize in providing Managed I…
02
What data engineers earn in New Orleans
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 New Orleans 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 New Orleans?
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.