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Data Engineer Project Jobs in New York (NOW HIRING)

Data Engineer

Edison, NJ · On-site

$88K - $105K/yr

Academic or project experience building data pipelines or working with data transformation ... Data Engineer | Hybrid | Metropark, New Jersey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

Academic or project experience building data pipelines or working with data transformation ... Data Engineer | Hybrid | Metropark, New Jersey

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

Academic or project experience building data pipelines or working with data transformation ... Data Engineer | Hybrid | Metropark, New Jersey

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Lead end-to-end data science projects using agile and iterative approaches. * Develop and deploy AI/ML models, including propensity modeling. * Drive data engineering requirements to support model ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Opportunity to work with a talented and passionate team on cutting-edge data projects.

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Opportunity to work with a talented and passionate team on cutting-edge data projects.

Data Engineer

NJ · On-site

$116K - $140K/yr

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 supporting Incedo projects. The ideal candidate ...

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

Manhattan, NY

$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 ...

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

... pipelines for data engineering projects. Behavioral Skills: • Good Communication skills • 5 days Work from Office at Berkley Heights, NJ • Team Player • Ability to work in a changing ...

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

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

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

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

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

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

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

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Showing results 1-20

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 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 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.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

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

The top searched job categories for Data Engineer Project jobs in New York 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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

$88K - $105K/yr

Other

Posted 4 days ago


Job description

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 data pipelines and cloud-based data infrastructure.

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks, Apache Spark, PySpark, and modern lakehouse architecture.


Key Responsibilities

  • Support the development and maintenance of data pipelines across Bronze, Silver, and Gold medallion architecture layers
  • Ingest and organize raw data within the Bronze layer
  • Support data cleansing, deduplication, validation, and schema enforcement within the Silver layer
  • Develop SQL and PySpark transformations based on defined business and technical requirements
  • Assist with data quality, testing, monitoring, and troubleshooting of pipeline jobs
  • Work with structured and semi-structured data within cloud-based data environments
  • Collaborate closely with senior data engineers to learn and apply modern data engineering practices
  • Contribute to scalable and reliable data solutions using version-controlled development practices


Required Qualifications

  • 0–2 years of experience in Data Engineering, Analytics, Computer Science, or a related field; internships and academic projects are considered
  • Foundational knowledge of SQL, including joins, filtering, aggregations, and querying relational data
  • Experience with Python and an understanding of basic object-oriented programming concepts
  • Understanding of core data concepts, including tables, schemas, relational databases, and data structures
  • Familiarity with Git or demonstrated ability to quickly learn version-control practices
  • Strong interest in developing expertise across Databricks, Spark, and cloud technologies
  • Strong analytical, problem-solving, and communication skills


Preferred Qualifications

  • Exposure to Databricks, Apache Spark, or PySpark
  • Understanding of Delta Lake or medallion architecture
  • Experience with Azure, AWS, or GCP
  • Databricks certification
  • Exposure to BI, reporting, or data visualization tools
  • Academic or project experience building data pipelines or working with data transformation workflows


Compensation & Work Arrangement


Salary: $88,000–$105,000 base salary + discretionary bonus


Work Arrangement: Hybrid


This is an excellent opportunity for an early-career professional looking to develop a strong foundation in data engineering, cloud data platforms, Databricks, Spark, and lakehouse architecture while working alongside experienced engineers.


Interested in learning more? Apply directly for additional information.


Data Engineer | Hybrid | Metropark, New Jersey