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Data Engineer Jobs in Summit, NJ (NOW HIRING)

Amalgamated Bank of NY

Data Engineer

Manhattan, NY · On-site

$155K - $170K/yr

We are looking for a highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You ...

Jane Street

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 foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Courier Health

Data Engineer

New York, NY · On-site

$120K - $150K/yr

About the Team You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and ...

Stefanini Group

Data Engineer

East Hanover, NJ · On-site

$40/hr

Data Engineer II (Hybrid role) Location: East Hanover, NJ 07936 Duration: 03 months (Possible extension) Timing: 1st shift (Monday to Friday) Pay rate: $40/- hourly on W2 Leverage analysis design ...

New

Damco Solutions

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Damco Solutions is seeking a Data Engineer to join their team. The primary responsibility of this role is to deliver high-performing data solutions, including data warehouses and data marts, while ...

Wells Fargo

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Wells Fargo is seeking a Data Engineer in Cybersecurity as part of Identity Access Management. Learn more about career areas and business divisions at wellsfargojobs.com The Data Engineer will ...

Arlo

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual ...

Independence Pet Group

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function. Organized around four core pillars-Data Strategy ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Argyllinfotech

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is required Client: Mizuho bank Visa: ANY Looking for skilled Data engineer with comprehensive experience ...

Arlo

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual ...

MedReview

Data Engineer

Manhattan, NY · Remote

$117K - $140K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment ...

Rivago infotech inc

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

AWS Lead Data Engineer (3 Open Positions) Location : Newark City, NJ (Hybrid) Job Summary : We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

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 ...

Motion Recruitment Partners, LLC

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Grow your career as a Data Engineer with an innovative global bank in Rutherford, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

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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 Sep 2, 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 a data engineer?

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.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
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:

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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 August 2026, with employment types broken down into 83% Full Time, 9% Temporary, and 8% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $137,836 per year, or $66.3 per hour.

Data Engineer

Amalgamated Bank of NY

Manhattan, NY • On-site

$155K - $170K/yr

Full-time

Posted 5 days ago

Job description

Purpose of Position: 

We are looking for a highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures to enable advanced analytics and data-driven decision-making across the organization.

Essential Job Functions:

  1. Design and develop scalable data pipelines using Databricks, ensuring efficient data processing and integration from various sources.
  2. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
  3. Implement best practices for data management, storage, and retrieval, focusing on optimizing performance and ensuring data integrity.
  4. Work with large datasets and perform data cleansing, transformation, and aggregation to support analytics and reporting functions.
  5. Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability.
  6. Stay updated with the latest advancements in data engineering and Databricks technologies to continuously improve our data infrastructure.
  7. Document data processes and workflows, ensuring transparency and knowledge sharing across the team.
  8. Ensure data security and compliance with regulatory requirements and industry best practices.
  9. Perform other duties as directed.

Knowledge, Skills and Experience Requirements:

  1. Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent experience
  2. 2+ years of experience as a Data Engineer, preferred proven expertise in using Databricks.
  3. Strong proficiency in data processing tools and languages such as SQL, Python, and Spark.
  4. Experience with cloud platforms, particularly Azure, and integration with Databricks.
  5. Understanding of data architecture principles and experience with ETL tools and methodologies.
  6. Excellent problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment.
  7. Strong communication skills, with the ability to collaborate effectively with cross-functional teams.

Our job titles may span more than one career level. The starting base salary for this role is between $155,000.00 – $170,000.00. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.

Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas.

Hybrid Work Model 
Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”.