$70 - $78 per hour
Snowflake Data Engineer (HVR REQUIRED) - U.S. Citizens OnlyU.S. CITIZENS ONLYNO SPONSORSHIP NOW OR IN THE FUTURENO H1BNO OPTNO CPTNO C2CNO THIRD-PARTY CANDIDATESMUST HAVE - READ BEFORE APPLYINGThis is NOT a general Snowf…
Engineering & IT · New York, NY
Data Engineer jobs in New York, NY
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.
1,168
Open roles today
$50–$124/hr
Typical pay range
$170k
Median, full-time
11
Fresh in this list
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01
Open data engineer roles
12 shown of 1,168 · sorted by freshness
$164.6k - $213.1k
Description and Requirements The Team You Will JoinAt MetLife, data isn’t just a tool - it is a catalyst for growth. As part of our... ...building the future of data - one that’s governed responsibly, engineered for scal…
TimeWorking Type On SiteJob Reference 0000017586Salary Type AnnuallyIndustry Hedge Fund;Private EquitySelling Points Drive impactful data engineering initiatives in a fast-paced financial environment. Collaborate on inno…
$100k - $150k
$100,000-$150,000 per annum New York, United States Permanent Data Catalog EngineerNew York, NY - Hybrid (3 Days Per Week in Office) My client is seeking a Data Catalog Engineer to join a growing Data Governance team foc…
Type HybridJob Reference 0000021410Salary Type AnnuallyIndustry Broker Dealer;Financial ServicesSelling Points Lead impactful data engineering projects at a leading organization. Drive innovation with modern cloud-based…
$175k - $250k
Data Center MEP EngineerAbout MillenniumMillennium is a global, diversified alternative investment firm, founded in 1989. Defined by... ...generators, transfer switches, and distribution boardsAct as Owner’s Engineer for…
$130k - $150k
______________Position SummaryThe NBA’s Basketball Strategy & Growth department is seeking an analytics engineer to own the ingestion and transformation of the data that powers the Integrity Team’s work on the league’s g…
Job SummaryWe are seeking a skilled Databricks Engineer with minimum of 5+ years of hands-on in Databricks who can design, develop, and optimize scalable data platforms and analytics solutions using the Databricks Lakeho…
$136k - $253k
Thomson Reuters, that transforms complex corporate transaction data into structured, searchable market intelligence. Its platform helps... ...with greater speed and confidence. As a Senior Data Platform Engineer, you wil…
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…
$130k - $200k
The Red Ventures Home Client Services group is looking for a Data Engineering Manager to lead a team of up to four data engineers building the data platform that powers our home services business. In this role, you'll tr…
$130k - $140k
Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google Cloud Platform (GCP)…
02
What data engineers earn in New York
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $50–$69 | $103k–$143k |
| Mid level | $69–$95 | $143k–$198k |
| Senior | $92–$124 | $191k–$257k |
Adjusted for the New York 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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