$73k - $113k
Responsibilities: Design, build, implement, and maintain ETL data pipelines across multiple data sources Develop scalable... ...technologies for data infrastructure and processing Collaborate with engineers, data scienti…
Engineering & IT · Baltimore, MD
Data Engineer jobs in Baltimore, MD
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.
144
Open roles today
$39–$99/hr
Typical pay range
$135k
Median, full-time
7
Fresh in this list
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01
Open data engineer roles
12 shown of 144 · sorted by freshness
$78.4k - $117.6k
Top Skills' Details -Must be in the office in Baltimore at least 3 times a week. -Python/PySpark -Mattilion -Snowflake -Ability to handle both maintenance and new development Job Type & Location This is a Permanent posit…
$120.8k - $265.8k
Job Title: Database Engineer 3Job Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee... ...approvals, continuous monitoring and assessment, and network…
$143.91k
Starting at $143,913 Per year (GS 14)Dates: Open 09/21/2026 to 10/02/2026Schedule: Full-timeWork type: PermanentRelocation: FalsePosition ID: CMS-CPI-26-13027005-DHDocument ID: 885478800Grade: GS 14Job category: Data Sci…
Job-ID27127872Reference26-01207Information Technology - Engineer, Software Sr PURPOSE: Performs complex analysis, design, development,... ...executing structured automated test cases. Compile, assess, and report data res…
software test plans, test scenarios, Defines and solves for test data needs, develops automated scripts and programs for testing in... ...defects using a bug tracking system and report defects to software engineers and p…
Req ID: 45400At NTT DATA Services, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and o…
$85.39k - $116.98k
Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer) - II Location: Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Secu…
$125k - $165k
apply to this position on the Internal Career Site Here. Purpose of Role Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a k…
$100k - $150k
Job Title: Data Engineer Location-Type: Hybrid / Travel – Baltimore, MD (50–75% onsite) Work Hours: 40 Hours/Week Start Date Is: ASAP Duration: Permanent Compensation Range: $100,000–$150,000/year Benefits: Eligible for…
$89.6k - $198.4k
e-Discovery Data Migration Engineer Position Description CGI is seeking an experienced eDiscovery Data Migration Engineer/Specialist to support complex legal data transitions between enterprise eDiscovery platforms. The…
$55 - $73 per hour
Data Engineer / DBA / Backend Engineer – FACETS Data Location: Baltimore, MD / Washington, DC (Hybrid) Type: Contract-to-Hire Schedule: 40 Hours/Week (EST) Industry: Healthcare / Health Insurance Work Authorization: Must…
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What data engineers earn in Baltimore
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $39–$54 | $82k–$113k |
| Mid level | $54–$76 | $113k–$158k |
| Senior | $73–$99 | $152k–$205k |
Adjusted for the Baltimore 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.
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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.
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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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