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Data Engineer Project Jobs in New Jersey (NOW HIRING)

Adidev Technologies Inc

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.

Adidev Technologies Inc

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.

Qode

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 ...

RIT Solutions, Inc.

Data Engineer

Pennington, NJ · On-site

$115K - $138K/yr

RIT Solutions, Inc. is seeking a Data Engineer to work on data-centric AI projects. The role involves developing ETL processes, performing feature engineering, and managing large volumes of data for ...

Prophecy Technologies

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 ...

Qode

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 ...

CAYS Inc

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

Qode

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 ...

CYNET SYSTEMS

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 ...

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 ... Strong project management and organizational skills. * Experience or knowledge of Agile Software ...

McKinsey & Company

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 ...

Deloitte

Data Engineer

Princeton, NJ

$120K - $144K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ...

Deloitte

Data Engineer

Morristown, NJ · On-site

$117K - $141K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ...

Deloitte

Data Engineer

Jersey City, NJ

$119K - $143K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ...

Tek Ninjas

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

If you are an individual that brings demonstrated experience of delivering big data projects as a data engineer, this is an excellent opportunity. We are looking for someone who has in-depth ...

Ascot Group

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

Ascot Group

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

Bright Mind Solutions LLC

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 ...

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All JobsData Engineer Project JobsData Engineer Project Jobs in New Jersey

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

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

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:

Data Engineer Project jobs near you
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.

Data Engineer

Jersey City, NJ • On-site, Remote

Adidev Technologies Inc
IT Services • 11 - 50 employees
Learn more about Adidev Technologies Incexternal

$125K - $150K/yr

Full-time

Re-posted 1 hour ago

Job description

Job Title: Data Engineer
Job Summary:

We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data pipelines, optimizing data workflows, and supporting analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and security across the organization.

Key Responsibilities:

  • Design, develop, and maintain robust and scalable data pipelines (ETL/ELT) using modern data engineering tools and frameworks.

  • Build and optimize data architecture and data models to support analytics and reporting needs.

  • Integrate data from various sources (APIs, databases, cloud storage, etc.) into a centralized data platform.

  • Implement data quality checks and ensure data integrity across all pipelines.

  • Collaborate with stakeholders to understand data requirements and deliver timely, high-quality data solutions.

  • Monitor data pipeline performance and troubleshoot data-related issues.

  • Ensure compliance with data governance and data security policies.

  • Automate manual processes and improve data workflows for efficiency and scalability.

  • Support deployment and operation of data infrastructure in cloud environments (e.g., AWS, Azure, GCP).

Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

  • 2+ years of experience as a Data Engineer or in a similar role.

  • Strong proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).

  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, dbt).

  • Proficiency in at least one programming language (e.g., Python, Java, Scala).

  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services like S3, Redshift, BigQuery, or Snowflake.

  • Understanding of data warehousing concepts and dimensional modeling.

  • Experience with version control systems like Git.

Preferred Qualifications:

  • Experience with real-time data processing frameworks (e.g., Kafka, Spark, Flink).

  • Knowledge of CI/CD and DevOps practices in a data engineering context.

  • Familiarity with data governance tools and practices (e.g., data catalogs, lineage tracking).

  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

What We Offer:

  • Competitive salary and benefits package.

  • Flexible work hours and remote work options.

  • Opportunity to work with a talented and passionate team on cutting-edge data projects.

  • Professional development opportunities and career growth support.

Employment Type: FULL_TIME

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