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Data Engineering Jobs in New Jersey (NOW HIRING)

Astrana Health, Inc.

$140K - $160K/yr

Data - Engineering Employment Type: Full Time Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801 Compensation: $140,000 - $160,000 / year Description We are seeking a highly motivated ...

ECS Resource Group

Data Engineering Lead

Newark, NJ · Hybrid

£60K - £90K/yr

Data Engineering Lead Newark - Flexible Hybrid Working Permanent Package: up to 90'000k We are recruiting for an experienced Data Engineering Lead, working for one of the UK's leading technology and ...

RIT Solutions, Inc.

Data engineering lead

Summit, NJ · On-site

RIT Solutions, Inc. is seeking a Data Engineering Lead to lead their data nimble team focused on data warehousing solutions. The role involves working with AWS services to ingest files, load data ...

CoreWeave

Senior Data Engineer

Livingston, NJ · On-site

$182K - $242K/yr

The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across CoreWeave. We design resilient data pipelines ...

Everest

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

Everest Re Group

AVP, Data Engineering

Warren, NJ

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

Everest Insurance

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

AIG

Senior Manager - Data Engineering

Jersey City, NJ · On-site

$139K/yr

Utilize programming languages to build data applications. Deliver meaningful progress on the data engineering front to enable priority capabilities and objectives. Evolve the data office operating ...

PUIG

Data Engineer

North Brunswick, NJ · On-site

$120K - $145K/yr

The role focuses on cloud-native data engineering using Google Cloud Platform, with strong emphasis on BigQuery, data quality, data governance, observability, performance and security by design. As ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

We are looking for an exceptional candidate that shares our passion for delivering solutions to complex Data engineering solutions and migration exposure. The ideal candidate will have: • 5-10 ...

Lawrence Harvey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

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 ...

LHi Group Ltd

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

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 ...

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All JobsData Engineering JobsData Engineering Jobs in New Jersey

Data Engineering information

See New Jersey salary details

$46.7K

$167.5K

$247.2K

How much do data engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data engineering in New Jersey is $167,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $172,600.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in 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. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in New Jersey?

The most popular types of Data Engineering jobs in New Jersey are:

What are popular job titles related to Data Engineering jobs in New Jersey?

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

What job categories do people searching Data Engineering jobs in New Jersey look for?

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

What cities in New Jersey are hiring for Data Engineering jobs?

Cities in New Jersey with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 2% Temporary, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $167,532 per year, or $80.5 per hour.

Manager - Data Engineering

Astrana Health, Inc.

On-site, Remote

$140K - $160K/yr

Full-time

Re-posted 12 days ago

Job description

Manager - Data Engineering
Department: Data - Engineering
Employment Type: Full Time
Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801
Compensation: $140,000 - $160,000 / year
Description
We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal candidate is a strong technical leader with a passion for mentoring others and delivering scalable, high-quality data solutions. You will collaborate closely with data analysts, data scientists, technology teams, and business leaders to design and implement robust data pipelines and platforms that support internal and external clients. With over a million managed lives across the country and terabytes of healthcare data generated, your leadership will be critical to empowering our organization with the tools and insights needed to drive innovation and improve patient outcomes.
Our Values:
  • Put Patients First
  • Empower Entrepreneurial Provider and Care Teams
  • Operate with Integrity & Excellence
  • Be Innovative
  • Work As One Team

What You'll Do
  • Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence.
  • Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices.
  • Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets.
  • Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues.
  • Champion the adoption of automation and modern data engineering practices, driving efficiencies in pipeline management and data delivery.
  • Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements.
  • Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives.
  • Support and enforce software development best practices, including code reviews, source control, CI/CD, and testing.

Qualifications
  • Bachelor's degree required in computer science, engineering, healthcare, analytics, or a related field; Master's degree preferred.
  • At least 5 years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity.
  • At least 2 years of experience with medical claims in healthcare and/or managed care.
  • Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure).
  • Advanced proficiency with SQL and scripting/programming languages such as Python or Spark.
  • Solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts.
  • Experience working with Databricks or similar distributed computing platforms preferred.
  • Familiarity with BI tools such Power BI.
  • Deep understanding of professional software engineering practices including SDLC, version control, CI/CD, and automated testing.
  • Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences.

You're a great fit for this role if you:
  • Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges.
  • Are passionate about mentoring and growing the next generation of data engineering talent.
  • Have a bias for action and a commitment to delivering high-quality solutions with measurable impact.
  • Bring a collaborative, team-first mindset to everything you do.

Environmental Job Requirements and Working Conditions
  • This position is remotely based in the U.S.
  • The total compensation target pay range for this role is: $140,000 - $160,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.

Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation.
Additional Information:
The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.

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