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Data Engineering Jobs in Secaucus, NJ (NOW HIRING)

Everest

AVP, Data Engineering

Warren, NJ · On-site

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 · 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 ...

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 ...

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 ...

Rhino

Senior Manager, Data Engineering

New York, NY · Remote

$160K - $210K/yr

About the role The Senior Manager, Data Engineering will be a key member of R + J's Technology team and will report directly to the CTO. This is a tech lead manager role, you will be responsible for ...

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All JobsData Engineering JobsData Engineering Jobs in Secaucus, NJ

Data Engineering information

See Secaucus, NJ salary details

$46.8K

$167.8K

$247.6K

How much do data engineering jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineering in Secaucus, NJ is $167,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,700.00 and $172,800.00 per year, depending on experience, location, and employer.

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.

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 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.

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 typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Secaucus, NJ?

The most popular types of Data Engineering jobs in Secaucus, NJ are:

What are popular job titles related to Data Engineering jobs in Secaucus, NJ?

For Data Engineering jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Secaucus, NJ look for?

The top searched job categories for Data Engineering jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Data Engineering jobs?

Cities near Secaucus, NJ with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Secaucus, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $167,771 per year, or $80.7 per hour.

SAVP - Director of Data Engineering

New York, NY • On-site

ExlService Holdings, Inc.
IT Services • 10K+ employees
Learn more about ExlService Holdings, Inc.external

Full-time

Posted 24 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description


Director of Data Engineering / Delivery Manager
Experience
15+ Years
Location
Flexible / Hybrid
Role Summary
We are seeking an experienced Director of Data Engineering / Delivery Manager to lead large-scale data and analytics programs, drive engineering excellence, and manage delivery across multiple strategic accounts. The ideal candidate will have deep expertise in modern data platforms, cloud technologies, data engineering, stakeholder management, and team leadership.
This role requires ownership of end-to-end delivery, engineering governance, client relationship management, account growth, and building high-performing data engineering teams.
Responsibilities
Delivery Leadership
  • Own end-to-end delivery of enterprise data engineering and analytics programs.
  • Ensure projects are delivered on time, within budget, and with high quality.
  • Establish delivery governance, risk management, and execution frameworks.
  • Lead multi-workstream programs involving data platforms, cloud modernization, AI/ML, and analytics initiatives.
  • Drive delivery excellence through Agile and DevOps best practices.

Data Engineering & Technology Strategy
  • Define and execute enterprise data platform roadmaps.
  • Lead architecture decisions across Azure, AWS, GCP, Snowflake, Databricks, Microsoft Fabric, and modern data ecosystems.
  • Drive adoption of scalable data architectures including Lakehouse, Data Mesh, and Data Products.
  • Ensure data quality, governance, security, and compliance standards.
  • Champion innovation in AI, Generative AI, and advanced analytics platforms.

Stakeholder & Client Management
  • Serve as a trusted advisor to senior client executives.
  • Lead executive steering committee meetings and governance reviews.
  • Manage escalations and ensure stakeholder satisfaction.
  • Drive strategic account growth through identification of new opportunities.
  • Collaborate with business, architecture, security, and product teams.

People Leadership
  • Build, mentor, and scale high-performing data engineering teams.
  • Manage Engineering Managers, Architects, Leads, and Data Engineers.
  • Drive workforce planning, hiring, succession planning, and capability development.
  • Foster a culture of innovation, accountability, and continuous learning.
  • Lead onshore and offshore delivery teams.

Financial & Operational Management
  • Own program budgets, forecasting, revenue, and margin targets.
  • Optimize resource utilization and delivery efficiency.
  • Monitor KPIs covering delivery health, engineering productivity, quality, and customer satisfaction.

Support proposal development, solutioning, estimations, and RFP responses.
Qualifications
Data Engineering
  • Enterprise Data Platforms
  • Data Warehousing & Lakehouse Architectures
  • ETL/ELT Frameworks
  • Data Modeling (Star, Snowflake, Dimensional)
  • Streaming & Real-Time Processing
  • Data Governance & Metadata Management

Cloud & Platform Technologies
  • Azure (ADF, ADLS, Synapse, Fabric)
  • AWS
  • GCP
  • Databricks
  • Snowflake
  • Microsoft Fabric

Programming & Engineering
  • Python
  • SQL
  • Spark / PySpark
  • Scala (preferred)
  • CI/CD
  • Azure DevOps
  • GitHub
  • Terraform

Leadership & Delivery
  • Agile Program Delivery
  • Account Management
  • Executive Stakeholder Management
  • Delivery Governance
  • Team Building & Mentoring
  • Strategic Planning

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
  • 15+ years of progressive experience in Data Engineering, Analytics, and Technology Delivery.
  • 5+ years leading enterprise-scale data programs and engineering teams.
  • Experience managing large global delivery teams and strategic client engagements.
  • Cloud certifications (Azure, Databricks, Snowflake, Fabric, AWS) preferred.

Success Metrics
  • Delivery SLA adherence
  • Revenue & Margin Achievement
  • Customer Satisfaction (CSAT)
  • Team Utilization & Retention
  • Platform Modernization Outcomes
  • Quality & Defect Metrics
  • Innovation and Automation Adoption

Account Growth & Expansion

What ExlService Holdings employees say

Pay

Hours and flexibility

Workplace

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