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Data Developer Jobs in New York (NOW HIRING)

AIG

Data Engineering Senior Associate

Jersey City, NJ · On-site

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 ...

AIG

Senior Manager - Data Engineering

Jersey City, NJ · On-site

$139K/yr

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 ...

Soda Data

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 ...

campus4tech

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 ...

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Data Developer information

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How much do data developer jobs pay per hour?

As of Aug 16, 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 are popular job titles related to Data Developer jobs in New York?

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

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:

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For Data Developer jobs in NY, the most frequently searched job titles are:

Data Developer jobs near you
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.

Sr Developer - Data Engineering - Irving

Photon

Jersey City, NJ • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

Key Responsibilities: 

  • Develop, test, and deploy data processing applications using Apache Spark and Scala. 
  • Optimize and tune Spark applications for better performance on large-scale data sets. 
  • Work with the Cloudera Hadoop ecosystem (e.g., HDFS, Hive, Impala, HBase, Kafka) to build data pipelines and storage solutions. 
  • Collaborate with data scientists, business analysts, and other developers to understand data requirements and deliver solutions. 
  • Design and implement high-performance data processing and analytics solutions. 
  • Ensure data integrity, accuracy, and security across all processing tasks. 
  • Troubleshoot and resolve performance issues in Spark, Cloudera, and related technologies. 
  • Implement version control and CI/CD pipelines for Spark applications. 

Required Skills & Experience: 

  • Minimum 8 years of experience in application development. 
  • Strong hands on experience in Apache Spark, Scala, and Spark SQL for distributed data processing. 
  • Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop. 
  • Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi. 
  • Experience building and optimizing ETL pipelines using Spark and working with structured and unstructured data. 
  • Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL. 
  • Knowledge of data warehousing concepts, dimensional modeling, and data lakes. 
  • Ability to troubleshoot and optimize Spark and Cloudera platform performance. 
  • Familiarity with version control tools like Git and CI/CD tools (e.g., Jenkins, GitLab).

Compensation, Benefits and Duration

Minimum Compensation: USD 46,000
Maximum Compensation: USD 161,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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