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Data Engineer Jobs in New York (NOW HIRING)

CAYS Inc

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Must have: -Python -Apache Airflow/DBT -Communication, both written & verbal -Kubernetes -OpenShift -8+ years of experience We are seeking a highly skilled Senior Data Engineer with 8+ years of hands ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Mondo

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

Data Engineer (AVP Level), location is Hybrid (3 days/week onsite in NYC). The start date is ASAP (targeting end of summer) for this long-term contract-to-hire position. Job Title: Data Engineer (AVP ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

TiltEdge Solutions LLC

Data Engineer

Jersey City, NJ · On-site

$75/hr

Job Title: Sr Data Engineer Location: Jersey City, NJ(Hybrid). Duration: 6-12 Months Rate: DOE : We are seeking a hands-on Data Engineer with strong experience in building scalable enterprise data ...

SysMind Tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer Location- New York, NY JD- Must have finance (investment/capital markets) experience We are looking for an experienced Data Engineer with expertise in SQL, python, and strong data ...

The Cypress Group

Data Engineer

New York, NY · Hybrid

$150K - $183K/yr

They are currently expanding their Data Engineering team based in New York City, NY. This role is hybrid on-site in the NYC Headquarters. Qualified candidates will have 3+ years of professional hands ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Qode

Data Engineer

NJ · On-site

$116K - $140K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

Kimcorealty

Data Engineer

Jericho, NY

$115K - $140K/yr

The Data Engineer will play a critical role in designing, building, and scaling Kimco's enterprise data platform in the cloud. This role is responsible for developing modern data pipelines, enabling ...

Sarian, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.

Qode

Data Engineer

Jackson, NJ · On-site

$116K - $140K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

Page Group

Data Engineer

Manhattan, NY · On-site

$115K - $135K/yr

The Data Engineer will play a key role in designing, building, and maintainig scalable data pipelines, curated analytical data models, and cloud-based data products that support enterprise supply ...

Kimco Realty Corporation

Data Engineer

Jericho, NY · On-site

$115K - $140K/yr

The Data Engineer will play a critical role in designing, building, and scaling Kimco's enterprise data platform in the cloud. This role is responsible for developing modern data pipelines, enabling ...

Dlapiper

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

GEI Consultants

Data Engineer

New York, NY · On-site

$125K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Dlapiper

Data Engineer

Short Hills, NJ

$124K - $149K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Mondo

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration: 6 Month Contract Compensation Range: $65-72/hour W2 Benefits: Eligible for Health, Dental, Vision ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in New York

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 Aug 11, 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.

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 is a data engineer?

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
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Data Engineer jobs near you
Infographic showing various Data Engineer 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 $141,914 per year, or $68.2 per hour.

Data Engineer

CAYS Inc

Jersey City, NJ • On-site

$119K - $143K/yr

Other

Re-posted 14 days ago

Job description

Must have:
-Python
-Apache Airflow/DBT
-Communication, both written & verbal
-Kubernetes
-OpenShift
-8+ years of experience

Job Description

We are seeking a highly skilled Senior Data Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift).

This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads.

The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.

Key Responsibilities:

Data Pipeline & Orchestration

  • Design, develop, and maintain complex Airflow DAGs for batch and event-driven data pipelines
  • Implement best practices for DAG performance, dependency management, retries, SLA monitoring, and alerting
  • Optimize Airflow scheduler, executor, and worker configurations for high-concurrency workloads

dbt Core & Data Modeling

  • Lead dbt Core implementation, including project structure, environments, and CI/CD integration
  • Design and maintain robust dbt models (staging, intermediate, marts) following analytics engineering best practices
  • Implement dbt tests, documentation, macros, and incremental models to ensure data quality and performance
  • Optimize dbt query performance for large-scale datasets and downstream reporting needs

Cloud, Kubernetes & OpenShift

  • Deploy and manage data workloads on Kubernetes / OpenShift platforms
  • Design strategies for workload distribution, horizontal scaling, and resource optimization
  • Configure CPU/memory requests and limits, autoscaling, and pod scheduling for data workloads
  • Troubleshoot container-level performance issues and resource contention

Performance & Reliability

  • Monitor and tune end-to-end pipeline performance across Airflow, dbt, and data platforms
  • Identify bottlenecks in query execution, orchestration, and infrastructure
  • Implement observability solutions (logs, metrics, alerts) for proactive issue detection
  • Ensure high availability, fault tolerance, and resiliency of data pipelines

Collaboration & Governance

  • Work closely with data architects, platform engineers, and business stakeholders
  • Support financial reporting, accounting, and regulatory data use cases
  • Enforce data engineering standards, security best practices, and governance policies

Required Skills & Qualifications:

Experience

  • 10+ years of professional experience in data engineering, analytics engineering, or platform engineering roles
  • Proven experience designing and supporting enterprise-scale data platforms in production environments

Must-Have Technical Skills

  • Expert-level Apache Airflow (DAG design, scheduling, performance tuning)
  • Expert-level DBT Core (data modeling, testing, macros, implementation)
  • Strong proficiency in Python for data engineering and automation
  • Deep understanding of Kubernetes and/or OpenShift in production environments
  • Extensive experience with distributed workload management and performance optimization
  • Strong SQL skills for complex transformations and analytics

Cloud & Platform Experience

  • Experience running data platforms on cloud environments
  • Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows

Preferred Qualifications

  • Experience supporting financial services or accounting platforms
  • Exposure to enterprise system migrations (e.g., legacy platform to modern data stack)
  • Experience with data warehouses (Oracle)
CAYS logo

About CAYS

Sourced by ZipRecruiter

CAYS – Consulting At Your Service, is a global Information Technology company that offers a portfolio of IT and consulting services to Fortune 500 companies allowing the companies to focus on their core business while we deliver quality services with significant cost savings. At CAYS, we believe in the concept of ‘for the people, by the people’. Our strength and success are built ‘by the people’ who work for us and deliver services ‘for the people’ who are our Clients who believe in us. We create an impact on our clients by addressing their current problems and provide leverage by foreseeing their future problems and providing effective solutions to them using our state-of-the-art technology and quality workforce. People from all cultures collaborate and work together providing a healthy and long-lasting working environment that helps retain good and exceptional talent.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

El Segundo, CA, US

Year founded

2015

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