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Sr Data Engineer Jobs in Edison, NJ (NOW HIRING)

Strategic Staffing Solutions

Senior Data Engineer

Iselin, NJ · On-site

$107K - $146K/yr

Senior Data Engineer (GCP / PySpark / ETL) Position Summary We are seeking a Senior Data Engineer to join a high-performing Data Engineering team supporting enterprise Fraud and Claims Analytics ...

Talkspace Corporate

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and ...

Talkspace

Senior Data Engineer

New York, NY

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and ...

Artius Solutions

Senior Data Engineer

New York, NY · On-site

$120K - $121K/mo

Senior Data Engineer Location: USA - NY, SLC, TX, UT, Dallas, New York City (Onsite) Job Summary: We are seeking a Senior Data Engineer to design and develop scalable, high-performance data pipelines ...

Rearc

Senior Data Engineer

New York, NY · On-site

$160K - $200K/yr

As a Senior Data Engineer at Rearc, you'll be the technical anchor on complex, client-facing data engineering engagements, someone who can sit across the table from a client's data leadership team ...

ACLU - National Office

Senior Data Engineer

New York, NY · Hybrid

$116K - $157K/yr

ABOUT THE JOB The ACLU seeks applicants for the full-time position of Senior Data Engineer in the Technology Department of the ACLU's National office in New York, NY. This is a hybrid role that has ...

Yieldstreet

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

They are seeking a Senior Data Engineer to own and improve the company's data stack, including building ingestion processes and streamlining reporting processes. Responsibilities : • Build and ...

Audacy, Inc.

Senior Data Engineer

New York, NY

$116K - $157K/yr

Senior Data Engineer Department: Digital Reporting To: Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering ...

Apex Informatics

Senior Data Engineer-

Jersey City, NJ · On-site

$61 - $80.75/hr

Senior Data Engineer- Jersey city, NJ * Must have: Spark, Scala, Java, AWS (EMR) * Nice to have: Python, S3 EC2, EKS, Hadoop, Impala, Hive, Airflow * Domain knowledge a plus * Data set size is 500m ...

The Walt Disney Company

Sr Data Engineer

New York, NY · On-site

$116K - $157K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147075 Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of ...

Fusemachines

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

They are seeking a Senior Data Engineer to build scalable and reliable data systems, focusing on designing and optimizing data pipelines and developing cloud-native architectures. Responsibilities ...

Gen II Fund Services LLC

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

Senior Data Engineer - Technology Who is Gen II? Gen II is a leading fund administration provider focused entirely on serving private capital asset managers and investors with a best-in-class ...

Hack The Box

Senior Data Engineer

New York, NY

$116K - $157K/yr

The core mission of the Senior Data Engineer: You will own and evolve our data pipelines on GCP - building new ones, hardening existing ones, improving data quality, and making clean, trustworthy ...

RIT Solutions, Inc.

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

RIT Solutions, Inc. is seeking a Senior Data Engineer with deep Capital Markets experience to support the design, development, and implementation of trade lifecycle data solutions. This role will ...

Gemini

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

Senior Data Engineer The Data team is responsible for designing and operating the data infrastructure that powers insight, reporting, analytics, and machine learning across the business. As a Senior ...

Gemini

Senior Data Engineer

New York, NY

$126K - $180K/yr

Senior Data Engineer The Data team is responsible for designing and operating the data infrastructure that powers insight, reporting, analytics, and machine learning across the business. As a Senior ...

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 ...

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Showing results 1-20

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Edison, NJ

Sr Data Engineer information

See Edison, NJ salary details

$83.9K

$130.8K

$181.2K

How much do sr data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for sr data engineer in Edison, NJ is $130,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $149,100.00 per year, depending on experience, location, and employer.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in Edison, NJ? For Sr Data Engineer jobs in Edison, NJ, the most frequently searched job titles are:
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Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Edison, NJ as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,114 per year, or $61.6 per hour.

Senior Data Engineer

Strategic Staffing Solutions

Iselin, NJ • On-site

$107K - $146K/yr

Other

Posted 19 days ago

Job description

Job Description Senior Data Engineer (GCP / PySpark / ETL) Position Summary We are seeking a Senior Data Engineer to join a high-performing Data Engineering team supporting enterprise Fraud and Claims Analytics initiatives. This role will be instrumental in modernizing a large-scale data platform by migrating data assets from Teradata to Google Cloud Platform (GCP). The ideal candidate has extensive experience designing and building scalable data pipelines, developing ETL solutions, and working with big data technologies in cloud environments.

This is an excellent opportunity to work on a high-impact migration involving nearly 1 petabyte of enterprise data while collaborating with engineering teams, business stakeholders, and analytics partners. Key Responsibilities Design, develop, and maintain scalable ETL pipelines supporting Fraud and Claims Analytics. Build and optimize high-volume data processing solutions using PySpark, Python, and SQL.

Participate in the migration of enterprise data assets from Teradata to Google Cloud Platform (GCP). Develop data solutions leveraging BigQuery, PySpark, Hadoop, and cloud-native technologies. Collaborate with business stakeholders, data architects, and application teams to understand data requirements and deliver reliable solutions.

Optimize data pipelines for performance, scalability, and cost efficiency. Support multiple applications utilized by Fraud Analytics teams. Work with large-scale datasets consisting of approximately 1,000 terabytes of data and 600-700 enterprise tables.

Schedule and monitor production workloads using AutoSys. Develop and maintain data integration workflows using Ab Initio. Troubleshoot production issues and implement performance improvements.

Participate in code reviews and follow engineering best practices for data quality, governance, and documentation. Support cloud deployment, testing, and production implementation activities. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).

5+ years of Data Engineering or Software Engineering experience (Senior Engineer level). 4-6 years of hands-on experience with: SQL ETL development Python PySpark AutoSys Ab Initio Cloud technologies (Google Cloud Platform preferred) Strong understanding of data warehousing concepts and large-scale data processing. Experience building highly scalable data pipelines and data integration solutions.

Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills.

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