only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering... ...where people work, connect, and thrive. From high-performance data centers driv…
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.
406
Open roles today
$48–$120/hr
Typical pay range
$165k
Median, full-time
10
Fresh in this list
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01
Open data engineer roles
12 shown of 406 · sorted by freshness
$145k - $165k
in your work as we create a better future together.OverviewAs a Lead of Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empowe…
$108.75k - $180k
You!The Difference You MakeThe Senior Financial Risk Analytics Engineer plays a critical role in supporting the Bank’s reserving, stress... ...responsible for designing, developing, maintaining, and enhancing data workfl…
$165k - $185k
About the JobSenior Data EngineerOur client, a highly regarded investment management firm in Boston, is investing heavily in its next... ...generation cloud data platform and is looking for a Senior Data Engineer to help…
$71 - $80 per hour
DescriptionKforce has a client in need of a Senior Data Quality & Snowflake Migration Engineer in Boston, MA.Responsibilities:* Design and implement data quality and validation processes for large-scale cloud data migrat…
Managing Director, Data Engineering & AIWho You'll Work WithAs a Managing Director in Slalom's Data & AI practice, you will lead the growth of our Data Engineering & AI business by helping clients modernize their data fo…
$57 - $64 per hour
a client in Boston, MA that is seeking an Information Security Engineer. Responsibilities:* Evaluate technology and security operations to... ...issues* Support cybersecurity initiatives focused on insider risk, data pro…
$87.7k - $139.7k
forward. Position OverviewJLL is seeking an experienced Senior High Voltage Electrical Engineer to lead the design and engineering of critical electrical infrastructure for hyperscale data centers and mission-critical fa…
We are looking for a skilled Data Engineer to join a 100% remote contract to hire position. This role focuses on developing and maintaining data warehouse integration processes, working closely with technical teams and b…
$80.46k - $142.72k
is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.We are... ...you will lead the electrical discipline of multiple concurrent data center pr…
We are seeking an experienced Snowflake Data Engineer with strong expertise in Snowflake, Python, SQL, Snowpark, and ELT pipeline development. The ideal candidate will have a strong background in data engineering, data w…
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…
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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
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.
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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
02
Data Engineer
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Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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