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Data Developer Jobs in New York (NOW HIRING)

Join us as a Data Engineering, Senior Associate to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team. Make your mark in ...

Utilize programming languages to build data applications. Deliver meaningful progress on the data engineering front to enable priority capabilities and objectives. Evolve the data office operating ...

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

Marketing or growth in data, developer tools, or infrastructure. * You've grown a technical audience of your own: newsletter, blog, LinkedIn, open source. * Building agentic workflows: MCP servers ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months Summary This role involves building and delivering advanced data science and AI/ML solutions in an ...

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

Data Engineer | Metropark, New Jersey Hybrid | $88,000-$105,000 Base + Bonus We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern ...

New

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

Data Engineer | Metropark, New Jersey Hybrid | $88,000-$105,000 Base + Bonus We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern ...

New

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows. Responsibilities : • Write ...

Showing results 21-40

Data Developer information

See New York salary details

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How much do data developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data developer in New York is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $65.77 per hour, depending on experience, location, and employer.

How does a data developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What is a data developer?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

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

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What job categories do people searching Data Developer jobs in New York look for? The top searched job categories for Data Developer jobs in New York are:
What cities in New York are hiring for Data Developer jobs? Cities in New York with the most Data Developer job openings:
What are popular job titles related to Data Developer jobs in NY? For Data Developer jobs in NY, the most frequently searched job titles are:
Infographic showing various Data Developer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,878 per year, or $58.1 per hour.

Graphics/Multimedia Editor, Elections Data Developer (Election Analytics)

The New York Times

New York, NY

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

The Election Analytics team produces flagship, standard-setting elections coverage, including the live, election night statistical model known as the Needle and The New York Times/Siena Poll. The department is looking to hire an experienced data developer to contribute to data creation, management and architecture across our products.

Underneath our poll and the Needle are massive amounts of data. This includes the voter file, as well as demographics for different localities, hundreds of scrapers collecting precinct data and countless pipelines for processing and cleaning data. Our understanding of the electorate is only as good as the data we have access to, including the data we create to test our systems and the election night model itself.

You will have a central role in creating and cleaning these data sources for use in our products. You will help knit together data from different sections of the team to build our understanding of what may happen on election night throughout the year. And you will ensure we have proper observability into how data is being used.

Election Analytics is a multidisciplinary team of reporters, developers, statisticians and modelers who work on written coverage, graphics, our polls and the election-night model. This is a highly collaborative role that will involve working with colleagues from Election Analytics, the Graphics department and Interactive News.

This is an in-office position in New York City or Washington, D.C., and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance.

To apply, you MUST include a cover letter of no more than 300 words that...

  • Explains how you approached a specific instance where you had to balance engineering principles with the need to meet a deadline; and

  • Explains specifically why you are interested in covering elections

Responsibilities:

  • Create test data for the election-night mathematical model and for live election-night Graphics

  • Build and improve pipelines for ingesting, processing, and displaying large data sets, precinct data or absentee files.

  • Build and maintain observability tools for the model that allow for fast debugging on election night and clear monitoring of precinct data entering the model

  • Work with stakeholders to understand the data needs and schema requirements

  • Develop and maintain libraries in R that form the basis of our apps

  • Balance engineering principles with the need to move at the speed of news

  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

  • You will report to the Director of Election Analytics

Basic Qualifications:

  • 3+ years of relevant experience

  • Familiarity working with large datasets and with best practices in data management

  • Experience working with data-oriented programming languages, such as R or Python

  • Experience working with cloud computing providers such as Google Cloud Platform or Amazon Web Services

  • Experience working collaboratively with people of different skills and backgrounds

  • Willingness to work a flexible schedule as needed to support coverage of elections and polls

Preferred Qualifications:

  • Experience working with election data

  • Experience developing ETL pipelines, working with orchestration tooling, and ensuring reliability and observability

  • Experience with Google BigQuery or other OLAP databases

  • Experience building productionized apps

This position is represented by the NewsGuild of NY.

REQ- 020250

Additional Compensation and Benefits

For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. 

For roles outside of the U.S., information on benefits will be provided during the interview process.