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Data Engineer Project Jobs in New Jersey (NOW HIRING)

Data Engineer I

Camden, NJ · On-site

$88K - $117K/yr

Are you passionate about launching your career in data engineering, transforming raw data into ... Hands-on experience or academic/project exposure to Azure Cloud Services, specifically Azure ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Understand the broader objectives of your project or role and how your work fits into the overall ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Senior Data Engineer-

Jersey City, NJ · On-site

$61 - $80.75/hr

Senior Data Engineer- Jersey city, NJ * Must have: Spark, Scala, Java, AWS (EMR) * Nice to have ... Data set size is 500m-1b rows per batch * His resume review focuses on projects itself, not the ...

Data Engineer III

Jersey City, NJ · On-site

$119K - $143K/yr

... Engineering teams to implement data requirements, analyzing performance, and researching and ... This employee will also work in projects that involve data migration, intensive testing, and ...

Data Engineer III

Jersey City, NJ · On-site

$125K - $150K/yr

... Engineering teams to implement data requirements, analyzing performance, and researching and ... This employee will also work in projects that involve data migration, intensive testing, and ...

Senior Data Engineer

Jersey City, NJ · Hybrid

$110K - $150K/yr

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Senior Data Engineer

Princeton, NJ · Hybrid

$111K - $151K/yr

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Senior Data Engineer

Morristown, NJ · Hybrid

$109K - $148K/yr

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Take ownership of projects, ensuring their successful planning, budgeting, execution, and ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

The Sr Data Engineer, AVP is an intermediate level position responsible for participation in the ... Working knowledge of consulting/project management techniques/methods * Ability to work under ...

Showing results 41-60

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 Jersey look for?

The top searched job categories for Data Engineer Project jobs in New Jersey are:

Infographic showing various Data Engineer Project job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AWS Data Engineer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$125K - $150K/yr

Full-time

Re-posted 15 days ago


Job description

NAVA Software solutions is looking for a AWS Data Engineer
Details:
AWS Data Engineer
Location: Remote project
Duration: 6-12 months
Job Description:
  • Candidate will be working on a new application that is growing more and more use cases, as well as the need to deploy more projects and support.
  • Understand the data, create a data pipeline, gathering requirements, understanding the requirements, understand what the data is, what we want to do with it, and where it should go, based on the infrastructure and the framework we have in place. And then they would build a pipeline, and QA work
  • Lastly they would integrate it into the CICD pipeline and create a poll request

Must have skills:
  • AWS
  • Lambda
  • Glue
  • S3
  • Python
  • PySpark
  • AI

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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