Job Description Job Description About the role: Position Summary We are seeking a Senior Data & Distribution Platform Engineer to support enterprise data, marketing, and distribution applications for a global asset-manag…
Engineering & IT · Boston, MA
Data Engineer jobs in Boston, MA
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.
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$48–$120/hr
Typical pay range
$165k
Median, full-time
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Open data engineer roles
12 shown of 878 · sorted by freshness
focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart. Current overriding priorities are new... ...Demonstrated ability to lead cross-functional engineering teams, define technical s…
$90k - $140k
Job Description Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from... ..., and inspired to grow. We are seeking a Senior Preclinical Data Engineer t…
Position: Senior Incorta Data Engineer Experience Required 6-8 Years Job Summary We are seeking an experienced Senior Incorta Data Engineer to design, develop, and optimize enterprise reporting and analytics solutions us…
decades of achievement are powered by an exceptional team that embodies a true startup mindset. The Platform Engineering Team at ABCorp builds the data infrastructure layer that powers our entire analytics organization.…
$97k - $118k
Boston, MA, or Indianapolis, IN Reports to: Senior Vice President, Business Intelligence & Analysis We are seeking a Senior Data Engineer to lead the design, development, and modernization of enterprise data platforms su…
Job Description Job Description Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and B…
Job Description Job Description hatch I.T. is partnering with Via to find a Senior Data Engineer. See details below: About the Role: An impressive mission requires an equally impressive Senior Data Engineer. As a Senior…
$500 per month
infusing AI-native products into a segment of the CPG supply chain that is ripe for improvement. Role We're hiring a Senior Data Engineer to build and own the data infrastructure that powers Spoiler Alert's next chapter.…
Job Description Job Description Requirement: Role: Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE Job Description: Candidates need to be able to manage data modeling and…
As a Senior Data Engineer, CASM Platform, you will: ~Data Integration, API Development: Integrate diverse cybersecurity data sources using variety of API mechanisms and to standardize and streamline data across the data…
$170k - $240k
easy for anyone to create original music. Built by musicians and engineers, Suno empowers users to turn ideas into fully produced tracks... ...and uniquely yours. About the Role We’re seeking talented data engineers to j…
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What data engineers earn in Boston
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $48–$66 | $100k–$138k |
| Mid level | $66–$92 | $138k–$192k |
| Senior | $89–$120 | $186k–$250k |
Adjusted for the Boston market from national ranges.
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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
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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.
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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.
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Show cost work if you have it — warehouse spend is a live concern and optimization stories differentiate.
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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
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Data Engineer
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Senior Data Engineer
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Staff Data Engineer
05
Data Platform Lead
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