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Data Structure Jobs in New York (NOW HIRING)

The Consensus

Human Data Architect, Quality

Manhattan, NY · On-site

$150 - $200/hr

You will work shoulder-to-shoulder with foundation-model researchers at our customers to translate model behavior into data structure -- what to label, how to label it, how to organize it, how to ...

NYULMC

Data Harmonization Analyst

New York, NY · On-site

This position focuses on analyzing source data structures, developing source-to-target mapping specifications, authoring ETL functional requirements and data quality assurance frameworks, and ...

Implify Inc

Cassandra Database Architect

Jersey City, NJ · On-site

$66.50 - $85.50/hr

Looking for a senior strong Cassandra profile Solid understanding of No SQL Database Solid experience in writing queries Expert in data structure design, Data Modelling in Cassandra Experience in ...

Info-Ways

Cassandra Database Architect

Jersey City, NJ · On-site

$66.50 - $85.50/hr

Cassandra Database Architect / Sr. Developer Looking for a senior strong Cassandra profile Solid understanding of No SQL Database Solid experience in writing queries Expert in data structure design ...

Stem Xpert

Big Data Engineer

New York, NY · On-site

$61 - $80.75/hr

... structure, and performance optimization techniques. 7. Knowledge of database principles, SQL, and experience working with large databases beyond just data access. 8. Exposure to complete SDLC and ...

Spgi

Index Data Owner - Private Markets

New York, NY · On-site

$83K - $117K/yr

Collaborate with R&D, Operations and Technology to enhance data quality, structure, and usability. * Develop deep expertise in sourcing, validating, and mastering data from multiple internal and ...

S&P Global

Index Data Owner - Private Markets

New York, NY · On-site

$83K - $117K/yr

Collaborate with R&D, Operations and Technology to enhance data quality, structure, and usability. * Develop deep expertise in sourcing, validating, and mastering data from multiple internal and ...

Sonsoft Inc

Cassandra Database Architect

Jersey City, NJ

$66.50 - $85.50/hr

Expert in data structure design, Data Modelling in Cassandra * Experience in handling big data * Experience in Performance tuning Good to have: * Experience with salesforce data model * Experience ...

3B Staffing LLC

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

Optimize 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 ...

3B Staffing LLC

Data Modeler

Manhattan, NY · On-site

$60.25 - $78.25/hr

Optimize 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 ...

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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 7, 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.

Data Steward, Customer Domain

The Rockridge Group

New York, NY • Remote

Full-time

Re-posted 13 days ago

Job description

TITLE:  Title: Data Steward, Customer Domain
 
POSITION SUMMARY:
 
The Client X Data Steward, Customer Domain will support the establishment of Client X’s Data Governance policies, data procedures, and data definitions for the Customer data domain.  With a main goal of improving Client X’s Customer data quality, the Data Steward will:
  • Contribute to the establishment of data definitions for the Customer domain;
  • Develop and document Customer data processes, business rules, and workflows;
  • Participate in the Customer data cleansing process;
  • Ensure adherence to Customer data processes, business rules and workflows; and,
  • Build guidelines for the Customer data lifecycle, from initiation to activation. 
 
ESSENTIAL FUNCTIONS:
 
  • Working closely with the Sales Strategy, Analytics, and Operations team, serve as a subject matter expert in the establishment of Client X’s Customer data policies, procedures, and data definitions. 
  • Drive process improvement for all data quality core processes, enabling execution with simplicity, speed, quality and efficiency.
  • Maintain business dictionary and data quality at the application/database level.
  • Ensure compliance to data governance policies, using analytics and tools to identify areas of data non-compliance. 
  • Serve as a liaison between business and functional Customer domains to ensure that data related business requirements are clearly defined, communicated, understood, and followed.
  • Provide guidance on data management best practices and where appropriate, escalate to the Data Owner.
  • Use strong data and analytic skills to identify gaps between Client X’s current Customer data and the future data structure.
  • Develop a detailed data cleansing framework and plan for migrating historic data into the future data structure. 
  • Oversee a team of resources to facilitate the cleansing of Client X’s historic Customer data into the new data structure. 
  • Collaborate with customer domain stakeholders to rationalize data needs and define authoritative sources of data.
  • Recommend changes to data governance policies and procedures when and where necessary to improve data governance quality.
  • Influence decisions with technical partners, internal teams, senior management, and external partners.
  • Develop high-performing team members and enhance department effectiveness through coaching and mentoring, in addition to building partner relationships internally and externally.
  • Develop an understanding and knowledge of key business functions related to specific data subject areas.
  • Understand the flow of customer data between systems.
  • Work with the larger analytics team to ensure data is accurate and consumable for end users.
 
 
 
 
 
 
REPORTING:
 
This position reports to Client X’s Customer Data Owner, a Director in Sales Strategy, Analytics & Operations.
 
MINIMUM QUALIFICATIONS:
 
  • Bachelor’s degree required
  • Experience with Tibco EBX Application (or similar) a plus
  • 5-7 years of experience in establishing and maintaining data governance policies, procedures, and definitions
  • Proven ability to work independently to lead cross-functional projects to successful completion
  • Demonstrated ability to work remotely from direct manager and drive exceptional results
  • Ability to multitask, prioritize and meet deadlines
  • Strong business acumen, and excellent communication skills