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Manager Data Engineering Jobs in Colonia, NJ (NOW HIRING)

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 ...

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 ...

BBR Partners is a boutique wealth management firm providing customized investment strategies and ... POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical ...

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 ...

BBR Partners is a boutique wealth management firm providing customized investment strategies and ... POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical ...

BBR Partners is a boutique wealth management firm providing customized investment strategies and ... POSITION OVERVIEW BBR Partners is hiring a Director of Data Engineering to build the analytical ...

Manager of Data Engineering

Brooklyn, NY · On-site

$200K - $220K/yr

Moda Operandi is seeking a hands-on Manager of Data Engineering to lead the data engineering function supporting Moda Operandi, a luxury e-commerce business. This role is a player-coach who owns the ...

Data Engineering Lead

Newark, NJ · Hybrid

£60K - £90K/yr

Data Engineering Lead Newark - Flexible Hybrid Working Permanent Package: up to 90'000k We are ... The role combines handson technical leadership with people management and crossbusiness ...

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Manager Data Engineering information

See Colonia, NJ salary details

$31.5K

$98.8K

$174.9K

How much do manager data engineering jobs pay per year?

As of Jul 19, 2026, the average yearly pay for manager data engineering in Colonia, NJ is $98,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $127,600.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are popular job titles related to Manager Data Engineering jobs in Colonia, NJ? For Manager Data Engineering jobs in Colonia, NJ, the most frequently searched job titles are:
What cities near Colonia, NJ are hiring for Manager Data Engineering jobs? Cities near Colonia, NJ with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Colonia, NJ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,801 per year, or $47.5 per hour.
Data Engineering Manager

Data Engineering Manager

Peloton

New York, NY • On-site, Remote

Other

Posted 10 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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