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

AWS Sr. Data Engineer

Newark, NJ ยท On-site

$119K - $143K/yr

AWS Sr. Data Engineer Location: Newark, NJ (Hybrid: 2-3 days a week) Duration: 6 months + (possibility of an extension) Implementation Partner: Infosys End Client: To be disclosed JD: Required ...

Sr Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

About the Role We're looking for a Senior Data Engineer that is innovative, curious, and collaborative to help evolve the data platform that powers our sell-side media business. This role supports ...

Senior Data Engineer

Manhattan, NY ยท On-site

$140K/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 ...

Sr. Data Engineer I

New York, NY ยท On-site

$116K - $157K/yr

Senior Data Engineer I - Scibids Role: Senior Data Engineer I - Scibids Location: New York, NY Hybrid: 3x a week on site Who we are: "DV Scibids" is a global leader in AI-powered digital campaign ...

Sr Data Engineer

New York, NY ยท Hybrid

$125K - $150K/yr

About the Role We're looking for a Senior Data Engineer that is innovative, curious, and collaborative to help evolve the data platform that powers our sell-side media business. This role supports ...

Senior Data Engineer

Manhattan, NY ยท On-site

$116K - $158K/yr

Enigma Technologies, Inc. is on the verge of releasing innovative small business intelligence products and is looking for a Senior Data Engineer to join their team. The role involves designing ...

Senior Data Engineer

New York, NY ยท On-site

$125K - $140K/yr

Your Responsibilities As a Senior Data Engineer, you will lead and contribute to high-impact projects with top-tier international clients across industries, designing, implementing, and optimizing ET ...

Sr Data Engineer

Manhattan, NY ยท On-site

$126K - $151K/yr

Job Summary : datafuelX is seeking a Senior Data Engineer to help evolve their data platform for sell-side media business. The role involves designing and maintaining data pipelines, ensuring data ...

Senior Data Engineer

New York, NY ยท On-site

$125K - $140K/yr

Your Responsibilities As a Senior Data Engineer, you will lead and contribute to high-impact projects with top-tier international clients across industries, designing, implementing, and optimizing ET ...

Senior Data Engineer

Summit, NJ ยท On-site

$112K - $153K/yr

RIT Solutions, Inc. is seeking a Senior Data Engineer to architect, create, and maintain data pipelines. The role involves collaborating with data science teams, training counterparts in data ...

Senior Data Engineer

New York, NY ยท On-site

$116K - $157K/yr

About the Role Willow Wealth is seeking a Senior Data Engineer who will be responsible for owning and improving the company's data stack. This includes expanding our data warehouse, building ...

Senior Data Engineer

Manhattan, NY ยท Hybrid

$116K - $158K/yr

The Data Engineering team is seeking a Senior Data Engineer to help design, build, and scale the modern data platform that powers analytics, data science, and data products across Versant brands. In ...

Senior Data Engineer

New York, NY ยท On-site

$220K - $245K/yr

We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role ...

Showing results 41-60

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:

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.

AWS Sr. Data Engineer

Wise Skulls

Newark, NJ โ€ข On-site

$119K - $143K/yr

Contractor

Posted 14 days ago


Job description

Title: AWS Sr. Data Engineer
Location: Newark, NJ (Hybrid: 2-3 days a week)
Duration: 6 months + (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
  • 5+ & 7+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
  • Strong programming experience with Python, Shell scripting, and SQL.
  • Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
  • Experience in serverless application development and data pipeline orchestration.
  • Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
  • Knowledge of ETL/ELT, data modeling, and big data technologies.
  • Familiarity with data warehousing concepts and cloud-based architecture.
  • Strong problem-solving skills and attention to detail
  • Ability to lead and manage offshore team and should be able to work independently