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Data Engineer

ManpowerGroup

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At a glance

Compensation
No compensation found
Location
New York, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Data Engineer will support operational and data pipeline needs in a high-performance algorithmic environment. The role focuses on maintaining the algorithm stack, resolving technical bottlenecks, troubleshooting production trading systems, and building technology and data systems for systematic block marketmaking. It also translates quantitative pricing models and business logic into production-grade code for real-time pricing and risk management.

Skills & qualifications

RequiredNice to have

Skills

PythonSparkSQLComputer Science FundamentalsData StructuresAlgorithmsSystems DesignSoftware Engineering LifecyclesCI/CDGitPerformance ProfilingScalable Solution DesignTestable Solution DesignData Pipeline Development

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

Our client is seeking a Data Engineer to join their team in New York, supporting operational and data pipeline needs for a high-performance algorithmic environment. As a Data Engineer, you will help ensure the data stack is robust, scalable, and reliable—so production systems can perform at their best when it matters most. If you enjoy building dependable pipelines, optimizing systems, and solving real-world engineering challenges, this role is for you.

Job Title: Data Engineer

Location: New York, New York

Pay Range:

What's the Job?

  • Handle operational aspects of the algorithm stack and help ensure the overall platform is robust, scalable, and high-performing.

  • Proactively identify and resolve technical bottlenecks across the trading lifecycle by building automated solutions that improve desk efficiency and system reliability.

  • Provide real-time, expert-level technical troubleshooting for production trading systems, supporting 24/7 high availability and performance in volatile market conditions.

  • Design, build, and maintain the high-performance technology and data stack powering systematic block marketmaking business logic.

  • Translate complex quantitative pricing models and business logic into robust, production-grade code for real-time pricing and risk management.

What's Needed?

  • Expert-level proficiency in Python, Spark, and SQL.

  • Strong foundation in computer science fundamentals, including data structures, algorithms, and systems design.

  • Deep understanding of software engineering lifecycles, including CI/CD, version control (Git), and performance profiling.

  • Systems design knowledge and the ability to build scalable, testable solutions for production environments.

  • Experience developing and operating data pipelines and supporting end-to-end data pipeline development practices.

What's in it for me?

  • Work on mission-critical operational engineering and data systems that directly impact production performance.

  • Build automated solutions that improve reliability, efficiency, and operational stability.

  • Contribute to real-time troubleshooting and system optimization in a high-availability environment.

  • Translate quantitative models into production-grade engineering implementations for real-time pricing and risk management.

  • Join a team focused on robust, scalable systems design and strong engineering practices.

Upon completion of waiting period consultants are eligible for:

  • Medical and Prescription Drug Plans

  • Dental Plan

  • Vision Plan

  • Health Savings Account

  • Health Flexible Spending Account

  • Dependent Care Flexible Spending Account

  • Supplemental Life Insurance

  • Short Term and Long Term Disability Insurance

  • Business Travel Insurance

  • 401(k), Plus Match

  • Weekly Pay

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

How this job compares

Set against the 6,316 open Data Engineer jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This postingNot listed
  • New York median$148–213K/yr378 salary ranges
  • US median$60–74/hr278 hourly ranges
Openings
Olive Jobs lists 487 open Data Engineer jobs in New York and 6,316 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,499 postings).
Education
2,401 of the 6,316 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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