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Data Developer Jobs in New York (NOW HIRING)

TecTammina

Data Developer

New York, NY

Company Description Tech Tammina LLC Data Developer - Investment Company C#, mid-tier and backend development, financial, pl/sql Mid-tier and backend is programming on the server side rather than GUI ...

Inherent Technologies

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Big Data Developer Location: New Jersey, NJ***Hybrid 3 days in a Week*** Duration: 1 Years Spark - Must have Scala - Must Have Hive & SQL - Must Have Hadoop - Must Have Communication - Must Have ...

MM International

Java/Big Data Developer

New York, NY · On-site

$55.75 - $72.25/hr

Java/Big Data Developer Location: NYC, NY, 2 Bryant Park 3 step iv process 1 hour virtual coding round 15 min virtual 1.5 hour onsite interview Must Haves CORE Java SPRING BIG DATA- STORM/SPARK/SCALA ...

Citigroup, Inc.

Lead Data Developer - VP

New York, NY · On-site

The Opportunity We are seeking a highly accomplished Java engineer to join our Realtime Risk Data team. This role is at the forefront of architecting, leading, and significantly enhancing our ...

AIG

AVP II, Data Platforms

Jersey City, NJ · On-site

This role involves leading a team of data engineers, implementing data projects, and ensuring high-quality work while instilling best practices for software development. Responsibilities : • Leads ...

Headway

Staff Data Infrastructure Engineer

New York, NY · On-site

$212K - $265K/yr

Deep expertise building full-stack data platforms: data warehousing, ingestion pipelines, orchestration, monitoring and alerting, CI/CD, developer tooling, cloud infrastructure, and third-party ...

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Data Developer information

See New York salary details

$29

$58

$88

How much do data developer jobs pay per hour?

As of Jul 23, 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 are Data Developers?

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.

How much does a data developer make?

The average salary for a data developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data developers proficient in programming languages like Python or SQL and familiar with data management tools tend to earn higher salaries.

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 jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain roles in finance, technology, and law, especially with bonuses, stock options, or profit sharing, also reach this level. These positions typically require advanced skills, extensive experience, and often involve leadership or highly specialized expertise.

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 does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large volumes of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Is 40 too late for data science?

A data developer or data scientist can start a career at age 40, as skills in programming, statistics, and data analysis are learnable at any age. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience. Age is less important than skills, continuous learning, and practical experience in the field.
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Data Developer jobs near you
Infographic showing various Data Developer job openings in New York as of July 2026, with employment types broken down into 81% Full Time, 4% Part Time, and 15% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $120,878 per year, or $58.1 per hour.
Data Developer

Data Developer

TecTammina

New York, NY

Other

Posted 15 days ago

Job description

Company Description

Tech Tammina LLC

Job Description

   Data Developer - Investment Company

                C#, mid-tier and backend development, financial, pl/sql

                Mid-tier and backend is programming on the server side rather than GUI (if the person is not doing primarily CSS/HTML/javascript, then he/she is most probably a backend developer)

Additional Information

Job Status: Full Time / Permanent
Eligibility: EAD GC/ GC/ US Citizen
Share the Profiles to mdanish(at)1stitsolution.com
Contact: 703 349 1004
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