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Data Engineer Jobs in New York (NOW HIRING)

Data Engineer

Manhattan, NY ยท Remote

$60 - $72/hr

Data Engineer 4 Corner Resources is hiring Data Engineers for a leading healthcare organization. This is a chance to join a fast-moving, technology-driven team where your work directly keeps critical ...

Data Engineer

Manhattan, NY ยท 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

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based ...

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Data Engineer

Secaucus, NJ ยท Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Engineer

Jersey City, NJ ยท On-site

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data ...

Data Engineer

Jersey City, NJ ยท On-site

$125K - $150K/yr

Role:-Data Engineer Position type: Contract to hire Duration: 12+ Months Location: Jersey City, NJ, and Columbus, OH - Hybrid 3 Days in Office. As a Data Engineer: We are looking for an exceptional ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...

Data Engineer

Jersey City, NJ ยท On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data ...

Data Engineer

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based ...

Data Engineer

Secaucus, NJ ยท Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Engineer

Greenwich, CT

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Data Engineer

Millburn, NJ ยท On-site

$114K - $137K/yr

A services organization in New Jersey is looking to fill an immediate need with the addition of a new Data Engineer to their team. About the Opportunity: * Shift: Day shift * Schedule: Monday to ...

Data Engineer

Manhattan, NY ยท Hybrid

$125K - $150K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

Data Engineer

Manhattan, NY ยท On-site

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based ...

Data Engineer

Jersey City, NJ ยท On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and enterprise-scale data integration. * Proven experience developing scalable ETL/ELT pipelines and ...

Data Engineer

Manhattan, NY ยท On-site

$100K - $125K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

Data Engineer

Manhattan, NY ยท On-site

$126K - $151K/yr

The Data Engineer will play a key role in delivering data-driven products to support the organization's mission, focusing on data collection, movement, storage, and transformation. Responsibilities ...

Data Engineer

Manhattan, NY ยท On-site

$126K - $151K/yr

Sr. Data Engineer - AWS Glue & Snowflake, Healthcare Payer Location - Midtown Manhattan, NYC- 4day Onsite Position Summary We are seeking a highly skilled Senior Data Engineer with deep expertise in ...

Data Engineer

Manhattan, NY ยท Hybrid

$125K - $150K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

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Data Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in New York? The most popular types of Data Engineer jobs in New York are:
What cities in New York are hiring for Data Engineer jobs? Cities in New York with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in NY? For Data Engineer jobs in NY, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in New York as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $141,914 per year, or $68.2 per hour.
Data Engineer

Data Engineer

4 Corner Resources

Manhattan, NY โ€ข Remote

$60 - $72/hr

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Engineer

4 Corner Resources is hiring Data Engineers for a leading healthcare organization. This is a chance to join a fast-moving, technology-driven team where your work directly keeps critical systems running for a large-scale healthcare operation.

Data Engineer Responsibilities:

  • Build and maintain data acquisition, integration, and migration workflows
  • Design and implement data staging, ingestion, preparation, provisioning, and destruction processes
  • Support production data pipelines with a focus on stability and fast issue resolution
  • Develop, test, and maintain data architectures aligned to business and technical requirements
  • Identify and implement improvements to data reliability, efficiency, and quality
  • Collaborate with product, analytics, and business stakeholders to translate requirements into data solutions

Data Engineer Qualifications:

  • Experience building and maintaining data pipelines
  • Strong Java or Python skills
  • Working knowledge of Big Data systems, automation, and security
  • Production cloud experience
  • Advanced SQL skills
  • Working knowledge of AWS
  • Hands-on PySpark experience
  • High School Diploma or GED required

Data Engineer Preferred Qualifications:

  • Bachelor's degree in computer engineering or related field
  • Experience leading data transformation initiatives from on-premise to cloud, ideally in a healthcare setting
  • Experience working in an Agile environment as a Data Engineer
  • Hands-on AWS experience with Redshift, Spectrum, and S3
  • Knowledge of the healthcare industry or provider-sponsored health insurance systems
  • Strong analytical, problem-solving, and cross-functional communication skills

Data Engineer Details:

  • Location: Lake Mary, FL or New York City, NY
  • Schedule: Remote (Quarterly onsite meetings)
  • Pay Rate: $60-$72/hr
  • Duration: 6-month contract-to-hire