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Data Engineering Jobs in Edison, NJ (NOW HIRING)

Everest

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

Headway

Senior Manager, Data Engineering

New York, NY · On-site

$212K - $265K/yr

About the Role As Senior Manager, Data Engineering, you will define and lead the technical strategy for Headway's data infrastructure. The team's mission is to build and maintain the reliable ...

Everest Insurance

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

Everest Re Group

AVP, Data Engineering

Warren, NJ

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling ...

Aviva

Head of Data Engineering

New York, NY · On-site

The Opportunity The Head of Data Engineering is a founding leader accountable for the enterprise data strategy and the design, build, and operation of the entire data ecosystem. Every underwriting ...

Umusic

Senior Manager, Data Engineering

New York, NY · On-site

$116K - $157K/yr

We are seeking an experienced and driven Senior Data Engineering Manager - Enterprise Data Products within the Global Data & Analytics team. You are passionate about leading teams that deliver ...

Justworks

Senior Manager, Data Engineering

New York, NY · On-site

The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on. Who You Are You're a ...

AIG

Data Engineering Senior Associate

Jersey City, NJ · On-site

Join us as a Data Engineering, Senior Associate to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team. Make your mark in ...

PUIG

Data Engineer

North Brunswick, NJ · On-site

$120K - $145K/yr

The role focuses on cloud-native data engineering using Google Cloud Platform, with strong emphasis on BigQuery, data quality, data governance, observability, performance and security by design. As ...

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All JobsData Engineering JobsData Engineering Jobs in Edison, NJ

Data Engineering information

See Edison, NJ salary details

$47.6K

$170.8K

$252.1K

How much do data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineering in Edison, NJ is $170,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,200.00 and $176,000.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Edison, NJ? The most popular types of Data Engineering jobs in Edison, NJ are:
What are popular job titles related to Data Engineering jobs in Edison, NJ? For Data Engineering jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Edison, NJ look for? The top searched job categories for Data Engineering jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Data Engineering jobs? Cities near Edison, NJ with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Edison, NJ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $170,835 per year, or $82.1 per hour.

AVP, Data Engineering

Everest

Warren, NJ • On-site

$118K - $142K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted just now

Job description

Title:

AVP, Data Engineering

Company:

Everest Global Services, Inc.

Job Category:

Technology

Job Description:

About Everest:

Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.

About the Role

While Everest currently operates primarily within the North American market, we see significant opportunities to expand globally. To support this growth, Everest Re Group, Ltd. ("Everest") is seeking an Assistant Vice President, Data Engineering to help drive the execution of our Global Data Strategy.

This highly visible leadership role requires a strong combination of technical expertise, strategic thinking, and people leadership. Working closely with business stakeholders, you will define, plan, and deliver technology solutions that enable business outcomes and support Everest's long-term strategy.

As a player-coach, you will lead multiple engineering teams while remaining actively engaged in technology strategy, architecture, and execution. You will serve as a key engineering leader across the organization, helping accelerate Everest's data and analytics transformation journey.

Key Responsibilities

Strategic Leadership & Business Partnership

  • Partner closely with business leaders and internal stakeholders to understand strategic analytics and business intelligence needs, and translate them into technology solutions.

  • Lead technology initiatives that enable meaningful, actionable, data-driven capabilities aligned with business objectives and enterprise strategy.

  • Develop and execute data and analytics technology strategies and roadmaps that support rapid delivery of information management capabilities while aligning with established technology and architecture standards.

  • Establish clear strategic direction and execution plans that support Everest's global data ambitions.

Data & Analytics Architecture

  • Define and deliver the data and analytics architecture, tooling, and capabilities required to support a modern cloud-based data ecosystem.

  • Establish best practices, governance frameworks, and controls to enable broad enterprise adoption while ensuring scalability, security, and reliability.

  • Deliver capabilities that support the rapid ingestion of new data sources and the efficient deployment of advanced analytics and AI models into production.

  • Champion modern engineering practices and cloud-first architectures that enhance agility, performance, and innovation.

Engineering Excellence & Transformation

  • Drive the organization's data and analytics transformation initiatives, accelerating cloud adoption while promoting security, governance, data quality, and integrity.

  • Support the development of engineering capabilities that encourage code sharing, inner sourcing, and reusability across teams.

  • Foster a cloud-first engineering culture leveraging automation, DevOps tools, and modern delivery practices.

  • Ensure solutions are scalable, maintainable, and aligned with enterprise standards.

Delivery & Operational Leadership

  • Drive the delivery of an exceptional customer and partner experience through intuitive, self-service data capabilities and trusted access to enterprise data.

  • Manage engagement and coordination across assigned delivery teams to ensure projects are delivered on time, within scope, within budget, and to the highest quality standards.

  • Balance strategic priorities with operational excellence to ensure consistent delivery and measurable business value.

Knowledge, Skills & Competencies

  • Demonstrated success building, leading, and developing high-performing engineering teams.

  • Inspirational leader with a proven track record of attracting, retaining, and developing top talent.

  • Deep experience leading data and analytics organizations within complex multinational environments.

  • Proven ability to deliver large-scale data and analytics initiatives on time, within budget, and with high quality.

  • Strong leadership presence with the ability to influence and collaborate effectively across all levels of the organization.

  • Excellent communication, stakeholder management, and relationship-building skills.

  • Ability to define a clear strategy and roadmap, align stakeholders around a common vision, and translate strategy into execution.

  • Comfortable operating in a lean, hands-on environment that requires both strategic leadership and detailed execution.

  • Strong customer-centric mindset with a focus on delivering impactful business outcomes.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Business, or a related field.

  • 8+ years of experience in data engineering, with deep expertise in delivering advanced analytics and data access capabilities.

  • 5+ years of people leadership and management experience leading technical teams.

  • 10+ years of experience within the insurance or financial services industry.

  • Experience working within a large multinational organization preferred.

  • Strong proficiency with the Microsoft Azure technology stack, including:

    • Azure Data Factory (ADF)

    • Databricks

    • Cloud-based data platforms and technologies

  • Strong programming and data engineering experience using:

    • Python

    • SQL

  • Deep understanding of modern data engineering practices, cloud-based architectures, and analytics platforms.

The base salary range for this position is $173,000 - $220,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

#LI-Hybrid

#LI-AS1

What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Clickhereto learn more about our culture.

  • Our Valuesare the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviorsdefine how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.

Type:

Regular

Time Type:

Full time

Primary Location:

Warren, NJ

Additional Locations:

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.

Everest U.S. Privacy Notice | Everest (everestglobal.com)

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