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Data Engineering Jobs in Passaic, NJ (NOW HIRING)

Peloton

Data Engineering Manager

New York, NY · On-site +1

ABOUT THE ROLE Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across ...

Peloton

Data Engineering Manager

New York, NY · On-site

$173K - $213K/yr

ABOUT THE ROLE Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across ...

ECS Resource Group

Data Engineering Lead

Newark, NJ · Hybrid

£60K - £90K/yr

Data Engineering Lead Newark - Flexible Hybrid Working Permanent Package: up to 90'000k We are recruiting for an experienced Data Engineering Lead, working for one of the UK's leading technology and ...

FanDuel

Data Engineering Manager

Manhattan, NY · On-site

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support individual career development and performance feedback, creating growth opportunities for your team

FanDuel

Data Engineering Manager

New York, NY · On-site

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support individual career development and performance feedback, creating growth opportunities for your team

FanDuel

Data Engineering Manager

New York, NY

Lead a team of data engineers through coaching, mentorship, and technical guidance * Support individual career development and performance feedback, creating growth opportunities for your team

Versant Media

Director, Data Engineering

Manhattan, NY · On-site

As a Director of Data Engineering, you will be play a pivotal role in the design, development, and implementation of robust data architecture and pipelines that support critical business decisions ...

Willis Re

Data Engineering Lead

New York, NY · On-site

Our Snowflake data lake platform sits at the centre of that estate, and we are looking for a Data Engineering Lead to drive its implementation. This is a deeply hands-on role. You will spend most of ...

Octaura

Intern, Data Engineering

New York, NY

We are seeking motivated and enthusiastic summer interns to join our data engineering team. An internship at Octaura provides an opportunity to acquire hands-on experience while contributing to ...

BBR Partners

Director, Data Engineering

New York, NY · On-site

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical data foundation that powers the firm's investment, advisory, and operational decision-making. This is a ...

BBR Partners

Director, Data Engineering

New York, NY

POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical data foundation that powers the firm's investment, advisory, and operational decision-making. This is a ...

Moda Operandi

Manager of Data Engineering

New York, NY · On-site

$200K - $220K/yr

Manager of Data Engineering ID: 1038 Location: Brooklyn, NY More about this job > Description Moda Operandi is seeking a hands-on Manager of Data Engineering to lead the data engineering function ...

BDG

Data Engineering Director

New York, NY · On-site

$165K - $190K/yr

As the head of our data engineering team, you will play a pivotal role in shaping BDG's data strategy and fostering a culture of innovation and excellence. What You'll Do * Lead & Grow the Team:

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All JobsData Engineering JobsData Engineering Jobs in Passaic, NJ

Data Engineering information

See Passaic, NJ salary details

$47.6K

$170.9K

$252.1K

How much do data engineering jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineering in Passaic, NJ is $170,862.00, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

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 engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

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 typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

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 cities near Passaic, NJ are hiring for Data Engineering jobs? Cities near Passaic, NJ with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Passaic, NJ as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 13% Part Time, 2% Temporary, 6% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $170,862 per year, or $82.1 per hour.
Data Engineering Manager

Data Engineering Manager

Peloton

New York, NY • On-site, Remote

Other

Posted 19 days ago

Job description

ABOUT THE ROLE

Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across our data platforms while managing the successful delivery of data initiatives through a combination of internal and offshore engineering resources.

You will work closely with business stakeholders, engineering teams, analytics partners, and platform owners to ensure our data ecosystem remains reliable, scalable, and well-governed. This role combines technical leadership, operational management, and stakeholder engagement, to help support Peloton's growing data and AI needs.

This role will be hybrid, not remote.

YOUR DAILY IMPACT AT PELOTON
  • Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process improvements
  • Manage and mentor offshore engineering resources, providing technical guidance, performance feedback, and delivery oversight
  • Partner with stakeholders across multiple business functions to gather requirements, prioritize work, and ensure successful delivery of data solutions
  • Own intake, prioritization, and execution processes for DataOps requests and operational support activities
  • Drive adoption of data engineering standards, ETL best practices, documentation requirements, and operational procedures
  • Serve as an operational owner for key data platforms, including Airflow, Airbyte, and Looker, owning platform governance activities such as user access reviews, compliance reviews, audit support, and operational controls
  • Coordinate incident management, root cause analysis, monitoring, alerting, and operational readiness efforts across the data platform
  • Help shape the long-term operating model for the Data Engineering team as Peloton continues to scale its data and AI initiatives
YOU BRING TO PELOTON
  • 5+ years of experience in data engineering, analytics engineering, software engineering, or related technical roles
  • 2+ years of experience leading technical teams, managing engineering projects, or coordinating offshore/vendor resources
  • Strong understanding of modern data engineering architectures, ETL/ELT patterns, and data platform operations
  • Hands-on working experience with data orchestration and integration platforms such as Airflow, Airbyte, DBT, or similar technologies
  • Proven ability to translate business requirements into technical solutions and coordinate delivery across multiple stakeholders
  • Experience designing and supporting monitoring, alerting, incident response, and operational support processes
  • Excellent communication, prioritization, and organizational skills with the ability to manage competing priorities
  • Strong SQL and data analysis skills, ideally with BigQuery
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degree preferred
BONUS
  • Experience administering or supporting compliance auditing for Looker, BigQuery, or other modern cloud analytics platforms
  • Experience managing distributed or offshore engineering teams
  • Experience building and scaling DataOps or platform operations functions
  • Experience implementing data quality, observability, lineage, or governance solutions
  • Experience supporting AI, machine learning, or self-service analytics initiatives
  • Experience working in Agile/Scrum environments and managing cross-functional technical programs

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