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Data Engineer Jobs in Summit, NJ (NOW HIRING)

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Sarian, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.

AaraTechnologies Inc

DATA ENGINEER

Manhattan, NY

$126K - $151K/yr

Data Engineer Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare (2 3 years experience) to support healthcare data ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

FanDuel

Data Engineer

New York, NY · On-site

$125K - $150K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling ...

FanDuel

Data Engineer

Manhattan, NY

$126K - $151K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling ...

FanDuel

Data Engineer

New York, NY

$125K - $150K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling ...

CYNET SYSTEMS

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

Job Overview: Pay Range: $55/hr - $60/hr Requirement/Must Have: * 10+ years of IT experience, with 7+ years of experience as an ETL/ELT developer/data engineer. * 3+ years of Databricks data ...

C&G Consulting Services

Data Engineer

Bridgewater, NJ

$117K - $140K/yr

We are seeking a Senior Data Engineer to build and operate enterprise-grade data pipelines using Microsoft Azure as the orchestration layer and Snowflake as the enterprise data lake/warehouse. This ...

Dlapiper

Data Engineer

New York, NY

$125K - $150K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Booz Allen Hamilton

Data Engineer

Wharton, NJ

$77K - $176K/yr

Job Number: R0241249 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data ...

Fusemachines

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are looking for a skilled Senior Data Engineer with a strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps and cloud-based large scale data applications ...

New

Inficare Technologies

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer Location : New York (Hybrid) Skills - Apptio, Big Data, ETL-Big Data/Data Warehousing, MS SQL, Oracle PL/SQL, Stored Proc Coding, Python, PySpark, Node/Node.JS, RDBMS, Data Analytics ...

Dlapiper

Data Engineer

Short Hills, NJ

$124K - $149K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Booz Allen Hamilton, Inc.

Data Engineer

Wharton, NJ · On-site

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

GEI Consultants

Data Engineer

New York, NY · On-site

$125K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

GEI Consultants

Data Engineer

Manhattan, NY

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Booz Allen Hamilton, Inc.

Data Engineer

Wharton, NJ · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

CVS Health

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of ...

Guru Schools

Data Engineer

New York, NY · On-site

$70/hr

Role: Data Engineer Location: New York (100% onsite) (Need local to NY) Interview mode: (1 Video interview and Client will be in person) Rate: $70/hr. on C2C Candidates need to have colab set up ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Summit, NJ

Data Engineer information

See Summit, NJ salary details

$47.3K

$137.8K

$188.6K

How much do data engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data engineer in Summit, NJ is $137,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $146,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Summit, NJ? The most popular types of Data Engineer jobs in Summit, NJ are:
What are popular job titles related to Data Engineer jobs in Summit, NJ? For Data Engineer jobs in Summit, NJ, the most frequently searched job titles are:
What cities near Summit, NJ are hiring for Data Engineer jobs? Cities near Summit, NJ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Summit, NJ as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $137,836 per year, or $66.3 per hour.

Data Engineer

Qode

Florham Park, NJ • On-site

$119K - $143K/yr

Full-time

Posted 14 days ago

Job description

Build Your own Job Description! Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers with strong analytical skills, who can create algorithms and conduct statistical and ability to integrate raw information from different sources to create consistent machine readable formats.

Our engineers are versatile, enthusiastic and work with leaders across the organization to help support business decisions. Does this sound like you? As a Data engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts.

Their ultimate goal is to make data accessible so that various stakeholders and clients can use it to evaluate and optimize their business performance. What are we looking for? Technical Skills and Responsibilities: • Analyzing and organizing raw data • Developing and maintaining datasets • Improving data quality and efficiency • Build data systems and pipelines • Evaluate business needs and objectives • Interpret trends and patterns • Conduct complex data analysis and report on results • Prepare data for prescriptive and predictive modeling • Build algorithms and prototypes • Combine raw information from different sources • Explore ways to enhance data quality and reliability • Identify opportunities for data acquisition • Develop analytical tools and programs • Collaborate with data scientists and architects on several projects Other skills and competence • Technical expertise with data models, data mining, and segmentation techniques • Strong analytical and problem-solving skills.

• Hands-on experience with SQL database design • Knowledge of programming languages (R, Python) • Bachelor's Degree in Computer Science, IT, or similar field • Highly motivated with a sense of ownership and accountability. • Quick learner with a great attitude. • Genuine team player, able to work well and pleasantly in a team and work independently for the team • Ability to communicate effectively with technical and non-technical audiences

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