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

The Role As the Senior Manager, Data Engineering at Farther, you will own the data platform powering a modern, technology-driven wealth management firm - the security master, custodial pipelines, and ...

The Role As the Senior Manager, Data Engineering at Farther, you will own the data platform powering a modern, technology-driven wealth management firm - the security master, custodial pipelines, and ...

Senior Manager, Data Engineering

New York, NY ยท 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 ...

Lead and develop a team of data engineers, including direct line managers and individual contributors at various levels * Set a high bar for engineering craft - mentor engineers, conduct architecture ...

Senior Manager, Data Engineering

New York, NY ยท 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 ...

Lead and develop a team of data engineers, including direct line managers and individual contributors at various levels * Set a high bar for engineering craft - mentor engineers, conduct architecture ...

Senior Manager, Data Engineering

New York, NY ยท On-site

$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 ...

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 ...

Utilize programming languages to build data applications. Deliver meaningful progress on the data ... to manage risk, respond to times of uncertainty and discover new potential. We invest in our ...

THE POSITION Our roster has an opening with your name on it We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and ...

THE POSITION Our roster has an opening with your name on it We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and ...

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 ยท 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 ...

Data Engineering Manager

Manhattan, NY ยท 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 ...

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Manager Data Engineering information

See Whippany, NJ salary details

$31.2K

$97.7K

$173K

How much do manager data engineering jobs pay per year?

As of Aug 29, 2026, the average yearly pay for manager data engineering in Whippany, NJ is $97,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $126,200.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

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.

What are the key skills and qualifications needed to thrive as a manager data engineering?

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.

How does a manager 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 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 job categories do people searching Manager Data Engineering jobs in Whippany, NJ look for?

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

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

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

Infographic showing various Manager Data Engineering job openings in Whippany, NJ as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $97,704 per year, or $47 per hour.

Manager, Data Engineering

Manhattan, NY โ€ข On-site

Digitas North America
5 - 10K employees

$88K - $127K/yr

Other

Posted yesterday

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Job description

Data Manager Of Data Engineering

PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation. Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.

The Data Manager of Data Engineering will work in a hands-on and supportive role in our Technology and Data Department. This team processes and maintains all the data that flows into our organization, and is the face of PHM regarding data needs from HCP publishers. You will work with internal and external partners, along with industry vendors, to monitor data transfers, perform data QA'ing and maintain documentation. You will also support the Vice President of Data engineering to enforce enterprise-wide data processes and protocols. This is a hybrid role, requiring three days in-office each week. If you are contacted for an interview, your recruiter will discuss specifics with you, inclusive of any necessary reasonable accommodations. This job is open to candidates who are willing to work out of our Philadelphia, Chicago, or New York offices. You will report to the Director, Data Engineering.

Responsibilities:

  • Lead portfolio of data projects across different clients in the agency
  • Work with different teams such as Media Tech, BI, Media, Strategy, Investments and Tech & Data
  • Use the agency warehouse and ETL solutions to oversee data transfers
  • Monetize data flow automation to retrieve, transform and load data
  • Data management responsibilities including ETL/data feed management and Metadata management
  • Review Process to ensure data stability, security, and compliance
  • Present issues, trends & recommendations to internal and external teams
  • Provide solutions for data needs and issue resolutions with the Data Engineering, Technology and Data and BI teams
  • Maintain best practices for handling, storing, and using data

Qualifications:

  • BS Degree in one of the following subject areas; Computer Science, Information Technology, or related field
  • Experience tracking and resolving BI and database related incidents as well as requests
  • Experience with database structures, theories, principles, and practices
  • Experience with ETL and data warehouse principles
  • Technical documentation skills
  • Experience communicating complex updates and resolutions to partners in user-friendly language
  • Minimum 4 years SQL experience, 3 years of ETL experience, 3 years analyzing data sets
  • Minimum 4 years BI experience (Tableau, Datorama)
  • Excel (can perform complex functions) and data warehouse knowledge
  • Experience with large datasets
  • Experience with Web and Digital marketing data a plus
  • Tools: SQL Server BI Platforms Tableau, Datorama (preferred) Cloud Technologies Databricks (preferred), AWS, Azure (preferred)

Compensation Range: USD $88,540.00 - USD $127,155.00/Annually.