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

Tatari

Senior Data Engineer

New York, NY · On-site

$170K - $200K/yr

As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the large-scale data pipelines that turn high-volume raw data into curated, production-grade datasets ...

Nelo Mobile

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

About the role We are looking for a Senior Data Engineer to help design, build, and operate the core data platform that powers analytics, machine learning, and business decision-making at Nelo. This ...

GOAT Group

Senior Data Engineer

New York, NY

$128K - $160K/yr

Grailed is looking for a Senior Data Engineer to help us build and scale the data infrastructure that powers one of the world's leading fashion resale marketplaces. Our data sits at the center of a ...

Tatari

Senior Data Engineer

New York, NY · Hybrid

$170K - $200K/yr

As a Senior Data Engineer in our Reporting and Measure pillar, you will design, build and own the large-scale data pipelines that turn high-volume raw data into curated, production-grade datasets ...

Contact Government Services, LLC

Sr. Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Sr. Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Verse Medical

Senior Data Engineer

New York, NY · Remote

$150K - $200K/yr

Senior Data Engineer We're hiring a Data Engineer to join our team and help build the foundation of Verse's data infrastructure. This is a high-impact, zero-to-one role where you'll help design and ...

Verse Medical

Senior Data Engineer

New York, NY · On-site

$150K - $200K/yr

Senior Data Engineer We're hiring a Data Engineer to join our team and help build the foundation of Verse's data infrastructure. This is a high-impact, zero-to-one role where you'll help design and ...

MLabs

Senior Data Engineer

New York, NY · On-site

$180K - $320K/yr

The client is seeking a Senior Data Engineer to spearhead infrastructure initiatives, optimize high-throughput data processing, and establish modern data engineering best practices. This role will ...

MLabs

Senior Data Engineer

New York, NY · On-site

$180K - $320K/yr

The client is seeking a Senior Data Engineer to spearhead infrastructure initiatives, optimize high-throughput data processing, and establish modern data engineering best practices. This role will ...

Medidata Solutions

Senior Data Engineer

Iselin, NJ · On-site

$96K - $128K/yr

As a Senior Data Engineer, you will expand this mission by reinforcing our analytics realm. You will leverage data engineering best practices to implement and maintain robust, scalable data pipelines ...

3ds

Senior Data Engineer

Iselin, NJ · On-site

$96K - $128K/yr

As a Senior Data Engineer, you will expand this mission by reinforcing our analytics realm. You will leverage data engineering best practices to implement and maintain robust, scalable data pipelines ...

Highmark Health

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

This role is an integral senior member of a technical team, responsible for supporting the design ... The incumbent will work closely with data professionals, analysts, and engineers to build and ...

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Showing results 41-60

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

Senior Data Engineer information

See Raritan, NJ salary details

$82.9K

$129.4K

$179.2K

How much do senior data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior data engineer in Raritan, NJ is $129,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 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 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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 are the most commonly searched types of Data Engineer jobs in Raritan, NJ?

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

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

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

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Raritan, NJ as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $129,364 per year, or $62.2 per hour.

Senior Data Engineer with MDM

Accord Technologies Inc.

Iselin, NJ • On-site

$107K - $146K/yr

Contractor

Re-posted 17 days ago

Job description

Senior Data Engineer with MDM
Iselin, NJ (Need Onsite day 1, hybrid 3 days from office).
Position type: W2 contract

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.