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

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 ...

Deloitte

Senior Data Engineer

Jersey City, NJ · Hybrid

$110K - $150K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

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 ...

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 ...

Deloitte

Senior Data Engineer

Morristown, NJ · Hybrid

$109K - $148K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Accenture

Google Senior Data Engineer

New York, NY · On-site

$94K - $266K/yr

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

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 ...

EliseAI

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

As a Senior Data Engineer, you will play a key role in building and maintaining data infrastructure that drives decision-making processes and enhances product development. Responsibilities : • ...

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 ...

Garner Health

Senior Data Engineer

New York, NY

$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 ...

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 ...

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 ...

DoubleVerify, Inc

Sr. Data Engineer I

Manhattan, NY · On-site

$116K - $158K/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 ...

DoubleVerify

Sr. Data Engineer I

New York, NY · 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 ...

Nelo

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Senior Data Engineer to design, build, and operate their core data platform. This role involves partnering ...

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Showing results 21-40

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

Senior Data Engineer information

See Union, NJ salary details

$82.5K

$128.7K

$178.3K

How much do senior data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior data engineer in Union, NJ is $128,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $146,700.00 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 Union, NJ?

The most popular types of Data Engineer jobs in Union, NJ are:

What are popular job titles related to Senior Data Engineer jobs in Union, NJ?

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

What job categories do people searching Senior Data Engineer jobs in Union, NJ look for?

The top searched job categories for Senior Data Engineer jobs in Union, NJ are:

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Union, NJ as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $128,733 per year, or $61.9 per hour.

Senior Data Engineer with MDM

Interon IT Solutions

Iselin, NJ • On-site

$107K - $146K/yr

Contractor

Re-posted 22 days ago

Job description

 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 Iselin, NJ (Need Onsite day 1, hybrid 3 days from office).

Job Description:

We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. Candidate will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs.

Responsibilities:

  • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains.
  • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization.
  • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met.
  • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements.
  • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively.
  • Implement data integration pipelines leveraging modern data engineering tools and practices.
  • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.
  • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies.
  • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services.
  • Ensure compliance with data governance, data privacy, and security standards.
  • Support CI/CD pipelines for continuous integration and deployment of data solutions.

Requirements:

  • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry.
  • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options.
  • Strong functional knowledge of reference data sources and domain-specific data standards.
  • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer.
  • Familiarity with CI/CD practices, tools, and automation pipelines.
  • Ability to work collaboratively across teams to deliver complex data solutions.
  • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).

Preferred, but not required:

  • Familiarity with financial data models and regulatory requirements.
  • Experience with Azure cloud platforms
  • Knowledge of data governance, data quality frameworks, and metadata management