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Data Developer Jobs in New York (NOW HIRING)

Barclays

Senior Data Analytics Developer

Whippany, NJ · On-site

Barclays Services Corp. seeks Senior Data Analytics Developer in Whippany, NJ (multiple positions available): * Build reports using financial and Client Relationship Management (CRM) data points ...

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 ...

Lawrence Harvey

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 ...

LHi Group Ltd

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 ...

W. R. Berkley Corporation

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 ...

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All JobsData Developer JobsData Developer Jobs in New York

Data Developer information

See New York salary details

$29

$58

$88

How much do data developer jobs pay per hour?

As of Aug 15, 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:

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:

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.

Senior Data Analytics Developer, Power BI and AWS

Carian

Newark, NJ • On-site

Full-time

Retirement

Posted 3 days ago

New

Job description

Senior Data Analytics Developer, Power BI and AWS
Location: Newark, New Jersey
Job Type: Full-time
Schedule: Hybrid; three days per week in office
About Us
CARIAN is a purpose-driven, woman-owned consulting and advisory firm dedicated exclusively to the power sector. We partner with leading electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on.
Position Overview
CARIAN is seeking a Senior Data Analytics Developer, Power BI and AWS to join our team and deliver customer analytics, dashboarding, data engineering, and AI/ML-enabled insights for a major utility program in Newark, New Jersey.
This role will help transform raw operational, customer, and business data into actionable insights, dashboards, data products, and analytics solutions that support strategic decision-making and improve customer experience. The position will work closely with CARIAN leadership, client stakeholders, Customer Analytics, IT, and vendor teams to build Power BI dashboards, optimize data sources and pipelines, support analytics solution design, and incorporate data science, AI, and machine learning approaches where appropriate.
The ideal candidate has strong hands-on experience with Power BI, AWS cloud services, SQL, Python, data modeling, data visualization, data engineering, and analytics delivery. Experience with customer analytics, call center operations, customer behavior analysis, or customer journey improvement is strongly preferred.
Key Responsibilities
  • Collect, summarize, analyze, and deliver insights using data from multiple sources.
  • Develop data models and analytics solutions to support Power BI dashboards and reporting needs.
  • Design, develop, maintain, and enhance interactive Power BI dashboards that provide actionable insights to stakeholders.
  • Identify valuable data sources and support optimization of data pipelines to improve data quality, integrity, security, and usability.
  • Partner with business stakeholders, Customer Analytics, IT, and vendor teams to gather requirements and translate business needs into analytics solutions.
  • Facilitate business requirements sessions between business stakeholders, IT, and vendors.
  • Facilitate and execute testing activities between business stakeholders, IT, and vendors.
  • Transform data to define analytics solutions that support customer experience improvement initiatives.
  • Incorporate AI and machine learning solutions into analytics use cases where appropriate.
  • Analyze operational and non-operational data to identify trends, patterns, customer friction points, customer behavior, and improvement opportunities.
  • Apply statistical analysis, data mining techniques, and scenario modeling to validate assumptions and support decision-making.
  • Interpret data to identify solutions, communicate insights, and support business decisions.
  • Develop and maintain SQL models, ETL workflows, and analytics logic to support reporting and dashboard development.
  • Use Python to support analytics, data processing, modeling, and AI/ML development.
  • Effectively communicate technical findings, insights, and recommendations to non-technical stakeholders, subject matter experts, and cross-functional teams.
  • Support responsible data use, data quality, documentation, and governance practices.

Qualifications
  • Bachelor's degree in Data Science, Engineering, Computer Science, Information Technology, Information Systems, Statistics, or a related field.
  • 5+ years of experience with data mining techniques, data modeling, statistical analysis, algorithms, or applied analytics.
  • 5+ years of experience with data visualization using Power BI or similar data visualization tools.
  • 5+ years of experience leveraging AWS services, including Redshift or similar cloud data platforms, to support scalable data pipelines and analytics solutions.
  • 5+ years of experience using Python for analytics, SQL modeling, data processing, or AI/ML model development.
  • 5+ years of experience using SQL and developing or maintaining ETL workflows, including SQL Server Integration Services or similar tools.
  • Experience working with large data sets and translating complex data into practical business insights.
  • Strong understanding of data modeling, dashboard development, analytics delivery, and reporting best practices.
  • Ability to facilitate requirements discussions, testing sessions, stakeholder reviews, and cross-functional solution development.
  • Excellent verbal and written communication skills, with the ability to explain technical concepts clearly and concisely to non-technical stakeholders.
  • Detail-oriented, results-driven, data-driven, and able to work independently in a fast-paced environment.
  • Ability to work a hybrid schedule in Newark, New Jersey, including three days per week in office.

Preferred Experience
  • 10+ years of progressive experience in data analytics, business intelligence, data engineering, data science, or related analytics delivery.
  • Advanced degree in Data Science, Data Analytics, Engineering, Computer Science, Information Technology, Information Systems, Statistics, or a related field.
  • Experience with customer analytics, customer experience, call center operations, or customer journey analysis.
  • Familiarity with data governance, data quality, and responsible AI practices.
  • AWS certification, Power BI certification, or related analytics certification.
  • Exposure to generative AI, large language models, retrieval-augmented generation, or other emerging technologies.
  • Experience developing analytics solutions for utility, energy, customer operations, or regulated business environments.
  • Experience working with business stakeholders, IT teams, vendor teams, and cross-functional analytics groups.

Why CARIAN
  • Purpose-driven work - Help deliver infrastructure that powers communities
  • Industry reputation - Trusted by leading utilities for our reliability and results
  • Career growth - Opportunities to lead major programs and mentor high-performing teams
  • Collaborative culture - Join a team that values delivery excellence and long-term relationships
  • Competitive total rewards - Strong compensation, full benefits, 401(k) match, and meaningful work

Equal Employment Opportunity
CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level.
Compensation
The salary range for this role is $100,000 - $150,000 annually. This range represents a good-faith estimate at the time of posting; actual compensation will depend on experience, qualifications, assignment requirements, schedule, and other factors permitted by law. In addition to base compensation, the role includes a comprehensive benefits package and a company 401(k) match.

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