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Senior Data Engineer Jobs in Summit, NJ (NOW HIRING)

Accord Technologies Inc.

Senior Data Engineer

Iselin, NJ · On-site

$107K - $146K/yr

Senior Data Engineer Location: Iselin, NJ ( Need Onsite day 1, Hybrid 3 days from office) Duration: 12 months. Position type; W2 contract We are seeking a skilled Data Engineer with expertise in ...

Bright Mind Solutions LLC

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

Need Local as for onsite interview Senior Data Engineer Location: Hybrid 3 days a week onsite Duration: 6 month contract to hire We're looking for a Senior Data Engineer to lead the development of ...

Interon IT Solutions

Senior Data Engineer with MDM

Iselin, NJ · On-site

$107K - $146K/yr

Job title- Senior Data Engineer with MDM Location- Iselin, NJ (Need Onsite day 1, hybrid 3 days from office) . Our Client is seeking a Senior Data Engineer with MDM experience to join our team in ...

Beam Impact

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

About the role As a Senior Data Engineer on our Engineering team with a focus on data development, you will be working with a team of talented developers responsible for helping create and maintain ...

Raylu, Inc

Senior Data Engineer

New York, NY · On-site

$165K - $230K/yr

Position Summary We're hiring a Senior Data Engineer to own data at truly massive scale. You'll design and run pipelines that clean, enrich, and serve data spanning hundreds of attributes across 80M ...

SPECTRAFORCE TECHNOLOGIES Inc.

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Senior Data Engineer Duration: 06 months (potential to hire) Location: Newark, NJ We are seeking a hands-on Senior Data Engineer with strong Denodo experience to design, build, and maintain scalable ...

EliseAI

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

About The Role As a Senior Data Engineer, you will be a crucial member of our Engineering team, driving our mission to leverage data as a strategic asset. You'll work closely with cross-functional ...

Saransh Inc

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/yr

Senior Data Engineer - Position Summary The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. This role focuses on data ...

Incca

Senior Data Engineer

Manhattan, NY · On-site

$160K/yr

The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who ...

Incca

Senior Data Engineer

Manhattan, NY · On-site

$160K/yr

The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who ...

Trexquant Investment

Senior Data Engineer

New York, NY · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ...

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Showing results 21-40

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Summit, NJ

Senior Data Engineer information

See Summit, NJ salary details

$86.1K

$134.2K

$186K

How much do senior data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior data engineer in Summit, NJ is $134,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,600.00 and $153,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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 Senior Data Engineer jobs in Summit, NJ?

For Senior Data Engineer jobs in Summit, NJ, the most frequently searched job titles are:

What cities near Summit, NJ are hiring for Senior Data Engineer jobs?

Cities near Summit, NJ with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Summit, NJ as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $134,236 per year, or $64.5 per hour.

Senior Data Engineer Azure Databricks

Kanshe Infotech

Warren, NJ • On-site

$126K - $166K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Senior Data Engineer – Azure Databricks
Location: Warren, NJ (Onsite – Local Candidates)
Job Type: Contract


Top Skills:
Azure Databricks | Azure | ADF | SQL | Python | Lakehouse | Delta Lake


Job Description:
We are seeking a Senior Data Engineer with strong Azure Databricks and Lakehouse experience to design and deliver scalable enterprise data solutions.


Required Skills:

  • 15+ years of overall IT experience.
  • Strong hands-on experience with Azure Databricks, Lakehouse, and Delta Lake.
  • Experience with Azure Data Factory (ADF) and ADLS Gen2.
  • Strong SQL and Python skills.
  • Experience with Apache Spark and ETL/ELT development.
  • Experience designing scalable batch and real-time data pipelines.
  • Strong knowledge of data modeling, data quality, security, and governance.
  • Experience with Azure DevOps, CI/CD, and Agile environments.
  • Strong technical leadership and stakeholder communication skills.
  • Azure Databricks Certification is mandatory.

Preferred Skills:

  • Experience with Unity Catalog.
  • Experience with Synapse Analytics, Key Vault, Azure Monitor, or Log Analytics.
  • Experience with performance and cost optimization.

Apply