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

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Role: Sr. Data Engineer Location: NYC, NY (Hybrid 3-4 Days onsite) Experience: Min-9 yrs & Max-12 yrs Location Preference: Candidates from NYC are preferred by the hiring manager Skills - Complex SQL ...

New

Senior Data Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Senior Data Engineer II Level: IC4 Employment Type: Full-time Focus: Data Platform, Pipeline Architecture, Analytics Engineering, Data Infrastructure, AI-Enabled Data Workflows About Our Client Our ...

Senior Data Engineer

Manhattan, NY

$115K - $157K/yr

Senior Data Engineer II Level: IC4 Employment Type: Full-time Focus: Data Platform, Pipeline Architecture, Analytics Engineering, Data Infrastructure, AI-Enabled Data Workflows About Our Client Our ...

Senior Data Engineer

Manhattan, NY

$115K - $157K/yr

Senior Data Engineer II Level: IC4 Employment Type: Full-time Focus: Data Platform, Pipeline Architecture, Analytics Engineering, Data Infrastructure, AI-Enabled Data Workflows About Our Client Our ...

Senior Data Engineer

Avenel, NJ · On-site

$107K - $146K/yr

Senior Data Engineer Local to NJ (Hybrid mode preferred but we are open for remote too) We are seeking a hands-on Senior Data Engineer with strong Denodo experience to design, build, and maintain ...

New

Senior Data Engineer

Manhattan, NY · On-site

$150 - $200/hr

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 ...

Senior Data Engineer

New York, NY · Remote

$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 ...

Senior Data Engineer

New York, NY · On-site

$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 ...

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 ...

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Damco Solutions is a company looking for a Sr. Data Engineer to enhance their data engineering capabilities. The role involves developing and maintaining data pipelines, utilizing various data ...

Senior Data Engineer

Iselin, NJ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop, and support scalable data solutions that enable critical business capabilities across Citizens. You ...

Senior Data Engineer

Iselin, NJ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop, and support scalable data solutions that enable critical business capabilities across Citizens. You ...

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 ...

Senior Data Engineer

Manhattan, NY · On-site

$150 - $200/hr

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 ...

Senior Data Engineer

New York, NY · On-site

$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 ...

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 ...

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 ...

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Showing results 1-20

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 Sep 7, 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 cities near Union, NJ are hiring for Senior Data Engineer jobs?

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

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.

Sr. Data Engineer

Marici Solutions

Manhattan, NY • On-site

$126K - $151K/yr

Other

Posted 3 days ago

New


Job description

Role: Sr. Data Engineer
Location: NYC, NY (Hybrid 3-4 Days onsite)

Experience: Min-9 yrs & Max-12 yrs
Location Preference: Candidates from NYC are preferred by the hiring manager

Skills - Complex SQL Query, Snowflake, Dimensional Data Modelling, Performance Tuning, Python, Airflow, Data Engineering
Job Description

The Sr. Data Engineer will contribute to the Company s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring various KPIs & metrics. Collaborating across disciplines, they will identify internal / external data sources, design data models, define ETL strategy & implement automated Data Quality checks.

Roles & Responsibilities

    • 7+ years of relevant data engineering experience.
    • Strong understanding of data modeling principles, including dimensional modeling and data normalization principles.
    • Expert SQL skills and ability to create queries to analyze complex datasets
    • Good experience with Snowflake and able to conduct advanced performance tuning.
    • Proficiency in Python programming
    • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
    • Strong communication skills written and verbal presentations.
    • Excellent analytical & problem-solving skills.
    • Ability to leverage AI to improve efficiency.
  • Familiarity with Agile Scrum principles and ceremonies.