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Data Engineer Jobs in New York (NOW HIRING)

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 ...

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 ...

GEI Consultants

Data Engineer

Manhattan, NY

$90K - $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 ...

Courier Health

Data Engineer

New York, NY

$120K - $150K/yr

About the Team You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and ...

Mondo

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

Data Engineer Location: Remote (EST hours preferred) Duration: 4 Month Contract (through end of 2026) Pay Range: $70-80/hour W2 Hours: 40 hours/week (EST) Benefits: Eligible for Health, Dental ...

Empower Professionals

Data Engineer

Jersey City, NJ · On-site

$60/hr

Data Engineer Location: Jersey City, NJ (Hybrid) Duration: 12+ Months In-person interview needed Must have: Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT | Data Warehousing | Data ...

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type: Contract Note: Interview mode: (Final round will be in person Interview at client location) Note:

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and New Jersey :- Required Skills: * Proficiency in data engineering programming languages (preferably ...

BDG

Data Engineer

New York, NY · On-site +1

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

Software Guidance & Assistance

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Applies in-depth knowledge of data engineering principles, SQL development, and quality engineering (QE) fundamentals to improve data processes, workflows, and system reliability. * Applies strong ...

BDG

Data Engineer

New York, NY · On-site

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

Jane Street

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Aita Consulting Services, Inc

Data Engineer

Totowa, NJ · On-site

$116K - $139K/yr

Identifies opportunities to automate data engineering processes and executes with direction of peers and management. * Maintains and improves the quality of data for all systems. * Ensures data ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) * 2. ...

Sigma Computing

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

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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 17, 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 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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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 are popular job titles related to Data Engineer jobs in New York?

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

What job categories do people searching Data Engineer jobs in New York look for?

The top searched job categories for 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:

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, 83% Full Time, 13% Part Time, 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

Mondo

Manhattan, NY • On-site

$65 - $72/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Job description

Job Title: 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, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship . Our client is seeking a motivated and detail-oriented Data Engineer to join our growing data team. In this role, you will work closely with senior data engineers, data scientists, and analysts to support the development, maintenance, and optimization of our data infrastructure. You will play a crucial role in ensuring the accuracy, availability, and performance of our data systems, which underpin our research and analysis efforts. Key Responsibilities: 1. Data Pipeline Development:
a. Assist in the design, development, and maintenance of scalable data pipelines to process and integrate data from various sources. b. Implement ELT (Extract, Load, Transform) processes to ensure data is collected, cleaned, and stored accurately.
2. Database Management:
a. Support the management and optimization of databases, including data warehousing solutions. b. Ensure data integrity, security, and accessibility.
3. Data Integration:
a. Collaborate with data scientists and analysts to integrate new data sources and support data-driven projects. b. Assist in the implementation of data integration solutions and APIs.
4. Performance Optimization:
a. Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks. b. Implement performance tuning techniques to improve data processing efficiency.
5. Data Quality and Validation:
a. Perform data quality checks and validation to ensure the accuracy and consistency of data. b. Develop and maintain documentation for data processes and workflows.
6. LLM experience:
a. Prepare quantitative and qualitative data for easy discovery by LLMs. b. Design and manage vector search infrastructure to support Retrieval-Augmented Generation (RAG) pipelines.
7. Collaboration and Support:
a. Work collaboratively with cross-functional teams to understand data needs and provide technical support. b. Contribute to the continuous improvement of data engineering practices and processes.
Qualifications: Education:
o Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field or a Master's degree in Computer Science, Information Technology, Engineering, or a related field with 3-5 years of professional experience.
Technical Skills:
o Proficiency in SQL and Python.
o Understanding of ELT processes and data pipeline development. o Experience with cloud platforms (Google Cloud, BigQuery) is a plus. o Prior experience with dbt and Air Flow is preferred. o Familiarity with CI/CD (Docker and Terraform) and concepts of data integrity. o Familiarity with data visualization tools (e.g., d3, plotly or Carto preferred).
Soft Skills:
o Strong analytical and problem-solving skills. o Excellent communication and teamwork abilities. o Detail-oriented with a commitment to accuracy