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Data Engineer Project Jobs in New York (NOW HIRING)

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 ... During the internship you'll take on two real projects. You'll get your hands on an unfamiliar ...

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

... projects Other skills and competence  Technical expertise with data models, data mining, and ... of programming languages (R, Python)  Bachelor's Degree in Computer Science, IT, or similar ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

... critical projects and strategic initiatives. The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of ...

Data Engineer

New York, NY

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ... During the internship you'll take on two real projects. You'll get your hands on an unfamiliar ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

... Data Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep ... Lead dbt Core implementation, including project structure, environments, and CI/CD integration

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration ... driven projects. b. Assist in the implementation of data integration solutions and APIs. 4. ...

Senior Data Engineer - Periscope

Newark, NJ · On-site

$110K - $150K/yr

... engineering projects from inception to completion. Responsibilities : • design, develop, and maintain scalable data pipelines and systems using Databricks on Azure • implement and optimize ETL ...

AWS Data Engineer

Newark, NJ · On-site

$53 - $58/hr

Ensure the best possible performance and quality of high scale data engineering project. * Participate in the architecture and system design discussions. * Independently perform hands-on development ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer Location: NYC, NY We are seeking an experienced professional with strong expertise in ... Lead end-to-end project deliverables, ensuring quality, timeliness, and alignment with customer ...

Data Engineer

Totowa, NJ · On-site

$116K - $139K/yr

Identifies opportunities to automate data engineering processes and executes with direction of ... Strong project management and organizational skills. * Experience or knowledge of Agile Software ...

Data Engineer

New York, NY

$125K - $150K/yr

Apply automation and innovation on new and on-going data platforms for those development projects ... Skilled in Python object-oriented programming * Skilled in AWS Compute such as EC2, Lambda ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Our range of expertise, project types, and culture make us the choice for top talent in the AEC ...

Reporting to the Head of Data, this is a high visibility role with the opportunity to work on greenfield projects. If you're a data engineer with a builder mindset, who wants to leverage a best-in ...

Data Engineer

Manhattan, NY

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Our range of expertise, project types, and culture make us the choice for top talent in the AEC ...

Lead AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Participate in the architecture and system design discussions for high-scale data engineering projects. * Independently perform hands-on development, unit testing, and participate in code reviews to ...

Data Engineer

New York, NY

$125K - $150K/yr

As our first Data Engineer , you will help us get there. This is an early, high-scope role ... You drive projects from conception to production without waiting to be told what to do next. What ...

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

Prefer Local to New Jersey as its Hybrid role Someone from financial project background We are seeking an experienced AWS Data Engineer / Data Analyst with hands-on expertise in building scalable ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... project schedules of billion-dollar infrastructure projects and improving safety on job sites ... We need a Senior Data Engineer who can work across the stack: tighten up our ingestion pipelines ...

Showing results 21-40

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

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 strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

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

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

What cities in New York are hiring for Data Engineer Project jobs?

Cities in New York with the most Data Engineer Project job openings:

Infographic showing various Data Engineer Project 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.

Data Engineer

Jane Street

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 21 days ago


Job description

About the Position
Our goal is to give you a real sense of what it's like to work at Jane Street full time. Over the course of your internship, you will explore ways to approach and solve exciting problems within your field of interest through fun and challenging classes, interactive sessions, and group discussions - and then you will have the chance to put those lessons to practical use.
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 proprietary software; and work with a mix of structured and unstructured data (think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds).
During the internship you'll take on two real projects. You'll get your hands on an unfamiliar dataset, figure out what it actually contains, dig into parts that don't make sense, and explain your findings. You'll write code to ingest and transform data and to monitor its quality. You'll be mentored by full-time Data Engineers and learn about business context from data users, but the projects will be yours to own.
Learn more about Jane Street's internship program here.
About You
We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking for smart, inquisitive people who enjoy solving interesting problems. We're more interested in how you think and learn than what you currently know. You should be:
  • Curious about what data means, not just how to move it from one place to another
  • Comfortable manipulating data in Python, SQL, R, or similar. You don't need to be a polished software engineer, but you should be able to turn an idea into working code
  • An analytical and logical thinker. You're able to investigate something new, ask good questions, and come to sound conclusions
  • Humble and eager to ask questions, admit mistakes, and learn new things
  • Courteous, reliable, and organized
  • A clear verbal and written communicator