that will improve their existing processes and ability to derive data- driven insights? Aimpoint Digital is a dynamic and fully... ...work alongside the most innovative software providers in the data engineering space to…
Engineering & IT · Atlanta, GA
Data Engineer jobs in Atlanta, GA
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.
618
Open roles today
$38–$96/hr
Typical pay range
$132k
Median, full-time
6
Fresh in this list
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01
Open data engineer roles
12 shown of 618 · sorted by freshness
focused on our customers' needs. RESPONSIBILITIES: Work with data scientist team to migrate the analytical data and projects to... ...Accounts. REQUIRED SKILLS: ~3+ years of professional data engineering or data wranglin…
where youll own and modernize the infrastructure behind institutional client reporting? TRC Talent Solutions is hiring a Data & Reporting Engineer for a growing investment management firm in Atlanta, GA . The Opportunity…
Job Description Job Description Job Description As a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI and data solutions for Honeywell's industrial customers, with a focus on…
Title: Data Analyst & Power Bi Engineer Location: Remote Let's create our future together at The AES Group! About The AES Group: The AES Group is a premier technology and engineering consulting company that has been brin…
$79.6k - $176.3k
Data Engineer/ Scientist Position Description Bring your data engineering and data science experience to a top brand in Atlanta to build insights for stakeholders across the business. Build leading edge analytics models…
Data Engineer Location: Atlanta, GA (100% Onsite) Duration: 6 Months Contract Interview: Virtual round Technical Skills Python | SQL | Snowflake | DBT | AWS Airflow | AWS | ETL/ELT | Data Engineering | Data Pipelines | D…
$155k - $165k
is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform. The Role Are you a data engineer who thrives on building robust pipelines and solving complex data challenges? In th…
W2 Candidates Only USC & GC Preferred Job Summary We are looking for a Data Engineer to design and maintain enterprise data platforms that support reporting, analytics, business intelligence, and data-driven decision-mak…
$147k
Job Description Job Description Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the D.C. Metro area. US Citizen or Legal Permanent Resident required per government contract…
Job Description Job Description Job Title: DATA Engineer – GCP Work Time Zone: EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid – 3 days on-site) We are looking for a highly capable Data Engineer to design…
Job Description Job Description Data Engineer Location: Atlanta, Georgia (Hybrid Remote- 2 days onsite/ 3 days remote) Job Type: Full-Time The Data Engineer is a vital member of the application services team responsible…
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What data engineers earn in Atlanta
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$53 | $80k–$110k |
| Mid level | $53–$74 | $110k–$153k |
| Senior | $71–$96 | $148k–$199k |
Adjusted for the Atlanta 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.
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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
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