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Data Engineering Jobs in Hoboken, 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 · 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

Paramount

Data Engineering Manager

Manhattan, NY

$139K - $208K/yr

Data Engineering Manager The Applied Intelligence Data Engineering team is seeking a Data Engineering Manager to lead the design, delivery, and operational excellence of large-scale batch and real ...

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 ...

Paramount

Data Engineering Manager

Manhattan, NY · On-site

$139K - $208K/yr

Data Engineering Manager The Applied Intelligence Data Engineering team is seeking a Data Engineering Manager to lead the design, delivery, and operational excellence of large-scale batch and real ...

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 ...

ClifyX

Data Engineering Lead

Manhattan, NY · On-site

$126K - $151K/yr

ClifyX is a company seeking a Data Engineering Lead who will be responsible for designing and managing data pipelines and ensuring data quality and governance. The role involves collaborating with ...

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 ...

RIT Solutions, Inc.

Data engineering lead

Summit, NJ · On-site

RIT Solutions, Inc. is seeking a Data Engineering Lead to lead their data nimble team focused on data warehousing solutions. The role involves working with AWS services to ingest files, load data ...

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 ...

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Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Hoboken, NJ

Data Engineering information

See Hoboken, NJ salary details

$50.3K

$180.5K

$266.4K

How much do data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineering in Hoboken, NJ is $180,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $186,000.00 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 Hoboken, NJ? The most popular types of Data Engineering jobs in Hoboken, NJ are:
What are popular job titles related to Data Engineering jobs in Hoboken, NJ? For Data Engineering jobs in Hoboken, NJ, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Hoboken, NJ look for? The top searched job categories for Data Engineering jobs in Hoboken, NJ are:
What cities near Hoboken, NJ are hiring for Data Engineering jobs? Cities near Hoboken, NJ with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Hoboken, 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 $180,544 per year, or $86.8 per hour.

Data Engineering Manager

Peloton

New York, NY • On-site, Remote

Full-time

Re-posted 2 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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