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Data Structure Jobs in New York (NOW HIRING)

INA Solution

C++ Developer

New York, NY · On-site

$53.50 - $72.25/hr

New YorkDuration: FT/Permanent or ContractBelow is the - Strong C/C++ programming skills- Strong interpersonal and communication skills- Strong data structure and relational database experience ...

INA Solution

C++ Developer

New York, NY · On-site

$53.50 - $72.25/hr

FT/Permanent or Contract Below is the - Strong C/C++ programming skills - Strong interpersonal and communication skills - Strong data structure and relational database experience - Experience with ...

Lawrence Harvey

Data Engineer

Edison, NJ · On-site

$88K - $105K/yr

Work with structured and semi-structured data within cloud-based data environments * Collaborate closely with senior data engineers to learn and apply modern data engineering practices * Contribute ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets * Develop data ...

Unchain Data

Data Scientist Markets

Manhattan, NY · On-site

$150 - $200/hr

Deep, working knowledge of market structure. You should be able to reason about order books ... Comfort working embedded in a non-data team where you are setting your own agenda and managing your ...

LHi Group Ltd

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

Work with structured and semi-structured data within cloud-based data environments * Collaborate closely with senior data engineers to learn and apply modern data engineering practices * Contribute ...

Lawrence Harvey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

Work with structured and semi-structured data within cloud-based data environments * Collaborate closely with senior data engineers to learn and apply modern data engineering practices * Contribute ...

ACI Infotech

Database Developer

Manhattan, NY · On-site

NYC, NY - ( Hybrid Role) Full Time Role The Database Developer will be responsible for all aspects of data flow and data structure for the application, including the data transfer from the core ...

Avani Technology Solutions, Inc.

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Master's degree preferred • Knowledge of data structures, algorithms and functional programming • Passion to learn new things, experiment with new ideas and build world class data platform • 5+ ...

RIT Solutions, Inc.

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

... database structures to ensure performance, scalability, and reliability of data systems. • Work with AWS services such as Redshift, S3, Glue, and RDS to design and implement cloud-based data ...

RIT Solutions, Inc.

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

... database structures to ensure performance, scalability, and reliability of data systems. • Work with AWS services such as Redshift, S3, Glue, and RDS to design and implement cloud-based data ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Proficiency in atleast one scheduling/orchestration tools (preferably Airflow, alternatively AWS Step Functions or similar) * 4. Proficiency with data structures, data serialization formats (JSON ...

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All JobsData Structure JobsData Structure Jobs in New York

Data Structure information

See New York salary details

$50.3K

$180.5K

$266.4K

How much do data structure jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data structure in New York is $180,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $186,000.00 per year, depending on experience, location, and employer.

What is a data structure?

A Data Structure job typically involves designing, implementing, and optimizing data storage and retrieval mechanisms in software applications. Professionals in this role work with different data structures like arrays, linked lists, trees, and graphs to improve the efficiency of algorithms. They are often employed in software development, data engineering, or system architecture roles, ensuring that data is managed efficiently for various applications. Strong problem-solving skills and proficiency in programming languages like Python, Java, or C++ are essential for success in this field.

What are the key skills and qualifications needed to thrive as a data structures engineer, and why are they important?

To thrive as a Data Structures Engineer, you need a solid understanding of algorithms, programming languages (such as Java, C++, or Python), and a formal education in computer science or a related field. Familiarity with version control systems like Git, debugging tools, and experience with relevant libraries or frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you design efficient solutions and collaborate with other developers. These skills ensure robust, scalable software that meets performance requirements and supports business objectives.

What are some common challenges faced by professionals working with data structures in software development?

Professionals working with data structures often encounter challenges such as selecting the most efficient data structure for a specific application, optimizing memory usage, and ensuring code scalability as data volume grows. Collaboration with other team members, such as developers and data engineers, is essential to design robust solutions that balance performance and maintainability. Additionally, staying current with evolving algorithms and best practices helps address complex data manipulation tasks in real-world projects.

What is the difference between Data Structure vs Data Analyst?

AspectData StructureData Analyst
Required CredentialsComputer Science degree, programming skillsStatistics, data analysis certifications, degree in related fields
Work EnvironmentSoftware development, programming, algorithm designBusiness, finance, marketing, data interpretation
Industry UsageSoftware engineering, computer scienceBusiness intelligence, marketing, finance

Data Structures focus on organizing and storing data efficiently within software applications, requiring programming skills and technical knowledge. Data Analysts interpret data to provide insights, often using statistical tools and working closely with business teams. While Data Structures are foundational for software development, Data Analysts apply data to solve business problems. Both roles are essential in data-driven industries but serve different purposes and skill sets.

What are the most commonly searched types of Data Structure jobs in New York?

The most popular types of Data Structure jobs in New York are:

What are popular job titles related to Data Structure jobs in New York?

For Data Structure jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Structure jobs in New York look for?

The top searched job categories for Data Structure jobs in New York are:

What cities in New York are hiring for Data Structure jobs?

Cities in New York with the most Data Structure job openings:

Data Structure jobs near you
Infographic showing various Data Structure job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $180,535 per year, or $86.8 per hour.

Senior Data Analyst, Trust and Safety

Unchain Data

Manhattan, NY • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Key responsibilities

  • Write SQL queries to investigate suspicious trading activity on the US exchange and resolve findings.

  • Field ad hoc data requests from the Trust and Safety team and provide clear, well-documented answers.

  • Build and maintain monitoring dashboards to track fraud and AML signals and identify patterns in bad actor behavior.

Job description

About Polymarket

Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.

We're growing fast — both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.

About the Role

Polymarket's Trust and Safety team is responsible for keeping the US exchange clean — identifying fraud, flagging AML-adjacent activity, and making sure bad actors don't quietly erode the integrity of the market. You'll sit on the Data team and work directly with Trust and Safety, owning the analytical layer of their operation: fielding ad hoc data requests, writing the SQL to answer them, and building the monitoring infrastructure that surfaces problems before they become incidents.

This is an individual contributor role based in our NYC office. You'll be working on live, real-money markets, which means the work has immediate consequences. The goal is for T&S to spend their time on decisions, not data pulls.

Responsibilities
  • Write SQL queries to investigate suspicious trading activity on the US exchange, from initial flag through resolution
  • Field ad hoc data requests from the Trust and Safety team and deliver clear, well-documented answers without needing step-by-step direction
  • Build and maintain monitoring dashboards that track fraud and AML signals on an ongoing basis, keeping them accurate and useful week over week
  • Identify patterns in bad actor behavior across accounts, trading history, and on-chain data, and translate those patterns into concrete detection logic improvements
  • Document investigation findings in a format that non-technical stakeholders can act on
  • Work with the T&S team to prioritize the highest-risk signals and reduce noise in existing alerting systems
Requirements
  • 3–5 years of experience in data analysis, with a track record of delivering under ambiguity
  • Strong SQL skills — you write clean, efficient queries against unfamiliar schemas without help and can debug your own work
  • Direct experience in fraud detection, AML investigation, or trust and safety analytics at an exchange, fintech, or similar environment
  • Proven ability to scope and complete open-ended investigations independently, not just answer well-defined questions
  • Experience building dashboards that operations or compliance teams rely on as a primary source of truth
  • Clear communication skills — you can explain what you found, why it matters, and what should happen next to someone who doesn't know SQL
Nice to Have
  • Familiarity with crypto or prediction market data structures, on-chain activity, or exchange-level trading data
  • Experience writing or contributing to detection logic or rules engines in a fraud or AML context
  • Background working directly with compliance, legal, or operations teams in a regulated environment
Benefits
  • Competitive salary & equity
  • Unlimited PTO
  • Full Health, Vision, & Dental coverage
  • 401k match
  • Hardware setup: new MacBook Pro, big display, & accessories
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