1

Data Structure Jobs in New York (NOW HIRING)

Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools ...

Data Infrastructure Architect

Manhattan, NY · On-site

$69.75 - $89.75/hr

This role will help build and maintain a high-quality data ecosystem by standardizing data structures, improving data flows, supporting data warehousing, and ensuring that agency data assets are ...

Data Infrastructure Architect

Manhattan, NY · On-site

$69.75 - $89.75/hr

This role will help build and maintain a high-quality data ecosystem by standardizing data structures, improving data flows, supporting data warehousing, and ensuring that agency data assets are ...

Be Seen First

Data Scientist

New York, NY · On-site

$30 - $35/hr

SQL queries Data structures REST APIs Working with raw datasets Preferred Qualifications Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with Git and collaborative software ...

C++ Developer

New York, NY

$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 ...

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 ...

Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools ...

Data Solutions Architect

New York, NY · On-site +1

$90K - $145K/yr

Advise on data structure, refresh cadence, and consumption Data Analysis & POCs * Build data samples, prototypes, and POCs using SQL, Python, or BI tools * Validate use cases through insight-driven ...

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 ...

Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools ...

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 ...

Data Solutions Architect

New York, NY · On-site +1

$90K - $145K/yr

Advise on data structure, refresh cadence, and consumption Data Analysis & POCs * Build data samples, prototypes, and POCs using SQL, Python, or BI tools * Validate use cases through insight-driven ...

Data Solutions Architect

New York, NY · On-site

$90K - $145K/yr

Advise on data structure, refresh cadence, and consumption Data Analysis & POCs * Build data samples, prototypes, and POCs using SQL, Python, or BI tools * Validate use cases through insight-driven ...

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+ ...

Showing results 41-60

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 Aug 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 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 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 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 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:
Infographic showing various Data Structure job openings in New York as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $180,535 per year, or $86.8 per hour.

Data Engineer III - AMZ9890609

Amazon

New York, NY • On-site

$170K - $230K/yr

Full-time

Posted 10 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON.COM SERVICES LLC
Offered Position: Data Engineer III
Job Location: New York, New York
Job Number: AMZ9890609
Position Responsibilities:
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.
Position Requirements:
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics
using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week, 8:00am-5:00pm, Salary Range $170,000/year to $230,000/year.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000
BASIC QUALIFICATIONS
Position Requirements:
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics
using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle.#0000
PREFERRED QUALIFICATIONS
Please see job description and the position requirements above.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US