Senior Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

$200K-$220K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

88% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered From the posting source

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer New York, New York, United States The Role As the driving force behind Schonfeld's next-generation data platforms, you will architect, operate, and continually refine underlying platform that empowers research, systematic trading, AI and risk analytics. On top of this robust foundation, you'll build and run high-throughput pipelines spanning ultra-low-latency market-data streams to cost-efficient end-of-day workflows. Partner closely with quants, data scientists, and fellow engineers to achieve sub-minute SLAs, shape firm-wide architecture, and mentor peers. We believe diverse backgrounds and voices spark better ideas and more resilient systems, so you'll join an inclusive culture where every perspective counts. What you'll do - Architect and operate the platform - 24x7 reliability, IaC-driven deployments, tight cost controls - Build and evolve batch and streaming pipelines that ingest billions of market-data events each day - Architect high-performance, cost-efficient Lakehouse tables - Expose curated datasets via robust, versioned APIs consumed by quants and AI agents - Optimize workflows to meet aggressive SLAs, embedding observability and automated data quality checks end-to-end - Champion Infrastructure-as-Code with Git-driven CI/CD for every data asset - Mentor junior engineers and enforce best-in-class coding standards - Continuously refine processes to keep our data ecosystem resilient and lightning-fast What you'll bring What you need: - 7+ years building production data platforms with Python and SQL - Deep expertise in big-data architecture: partitioning, sharding, columnar formats - Hands-on with SingleStore/MemSQL, Spark/Flink/EMR and event buses (Kafka/Kinesis) - Proven AWS skills plus Terraform / CloudFormation infrastructure-as-code mastery - Experience delivering data services

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