ZipRecruiter

Log In

1

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

Farther

Senior Manager, Data Engineering

New York, NY

  • Medical

  • Retirement

  • PTO

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 ...

Farther

Senior Manager, Data Engineering

New York, NY · On-site +1

  • Medical

  • Retirement

  • PTO

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 ...

Farther

Senior Manager, Data Engineering

New York, NY · On-site

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 ...

Headway

Senior Manager, Data Engineering

New York, NY · On-site

$212K - $265K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Justworks

Senior Manager, Data Engineering

New York, NY · On-site

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 ...

Rhino Labs

Senior Manager, Data Engineering

New York, NY · On-site

$160K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Rhino Labs

Senior Manager, Data Engineering

New York, NY

$160K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Rhino

Senior Manager, Data Engineering

New York, NY · Remote

$160K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

New

AIG

Senior Manager - Data Engineering

Jersey City, NJ

$139K/yr

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 ...

FanDuel

Data Engineering Manager

New York, NY

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

next page

Showing results 1-20

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Union, NJ

Manager Data Engineering information

See Union, NJ salary details

$31.6K

$99K

$175.3K

How much do manager data engineering jobs pay per year?

As of Aug 14, 2026, the average yearly pay for manager data engineering in Union, NJ is $98,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $127,900.00 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?

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 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.

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 are popular job titles related to Manager Data Engineering jobs in Union, NJ?

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

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

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

Manager Data Engineering jobs near you

Manager, Data Engineering

Building Service 32BJ Benefit Funds

Manhattan, NY • On-site

$140K - $150K/yr

Full-time

Medical, Retirement

Posted 22 days ago

Job description

Job Code
911

Department Name
Health Fund Admin

Reports To
Assistant Director, Health Analytics & Engineering

FLSA Status
Exempt

Union Code
N/A

Management
Yes


About Us:

Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 185,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues.


The Funds oversees and manages $11 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people.


32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more.


Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A


Job Summary:

Under the direction of the Assistant Director, Health Analytics & Engineering, the Manager, Data Engineering provides technical leadership and oversight for the Health Fund's Data Engineering Team, including the enterprise data warehouse, system integrations, data pipelines, and data governance frameworks. The role leads a team of data engineering professionals responsible for delivering scalable, secure, and high-quality data solutions that support reporting, analytics, operational processes, and strategic initiatives.


The Manager, Data Engineering oversee numerous projects and initiatives across the full data lifecycle, including data governance, ETL processes, data validation, standardization and normalization, data integrity and quality assurance/control (QA/QC), data integration, and reporting and dashboard solutions. This position operates at both a technical and business level, helping to delineate roles and responsibilities across the Data Engineering Team while minimizing operational friction and delivering high-quality, reliable technical products in line with business needs and expectations. Working closely with internal teams, including Data Engineering, Analytics, IT, and other stakeholders, as well as external data vendors and content providers, this position drives the delivery of high-quality data products, establishes best practices for data management and governance, and ensures data platforms meet evolving business, regulatory, privacy, and security requirements.


Essential Duties and Responsibilities:

  • Oversee the Data Engineering Team through leadership and supervision. Staff may include Data Engineers, ETL Specialists, and other relevant technical staff.
  • Provide leadership, coaching, performance management, and professional development to Data Engineering staff, fostering a collaborative, accountable, and high-performing team environment.
  • Technical ownership of the data warehouse, including system architecture, data architecture, data engineering, and data pipelines
  • Lead collaboration for the deployment and implementation of tools necessary to integrate data within and across information systems and support data-driven decision­ making.
  • Understand business requirements and translate them into technical solutions and application features.
  • Develop and implement methods to improve data reliability, quality, and accessibility.
  • Maintain data governance and documentation practices for a variety of data inputs from multiple sources, including flat files and spreadsheet-based files transmitted through SFTP, as well as JSON/XML style objects from API interfaces and other data exchange mechanisms.
  • Participate in the evaluation and pilot of new technologies and provide recommendations regarding their alignment with business needs and strategic objectives.
  • Manage communication and relationships with data platform stakeholders, balancing business requirements with technology capabilities.
  • Partner with business and technology leadership to develop and execute the Health Fund's data strategy, roadmap, and priorities, ensuring alignment with organizational goals and business objectives.
  • Develop testing protocols to ensure processes are robust and bugs are identified, documented, and resolved.
  • Conduct functional and non-functional testing.
  • Evaluate existing data models, architectures, and pipelines.
  • Develop and maintain technical documentation to accurately represent data models, architectures, integrations, and workflows.
  • Ensure that integration processes are fully tested and any issues, limitations, integrations, or dependencies are well defined and documented.
  • Work with cross-functional technology and business partners to lead the technical delivery of integration solutions approved within the portfolio and contribute to the ongoing development of the Funds' data strategy
  • Collaborate with business partners and internal teams to understand, document, prioritize and implement new datasets, integrations, and features within the data warehouse environment.
  • Align closely with agency IT teams to support the deployment of integration systems.
  • Partner with the QA and Infrastructure teams to ensure compliance with regulatory and security requirements.
  • Establish, maintain, and enforce data engineering standards, policies, procedures, and best practices to ensure data quality, scalability, security, reliability, and operational efficiency.
  • Monitor and optimize the performance, availability, and reliability of data platforms, data pipelines, data warehouse environments, and integration processes to support business continuity and operational effectiveness.
  • Collaborate with Data Warehouse Architect in the design for the overall architecture of the data platforms and provide guidance and oversight.
  • Ensure that guiding principles, technology standards, data governance requirements, and privacy policies are consistently followed.


Qualifications (Competencies):

  • Minimum 8 years of experience in data engineering, data warehousing, ETL/ELT development, data integration, or related technical disciplines.
  • Minimum 3 years of management or supervisory experience leading technical teams and complex data initiatives.
  • Experience managing projects across the full data lifecycle, including data governance, data quality, integration, testing, documentation, and production support.
  • Knowledge of healthcare regulatory requirements and data governance standards affecting health benefits organizations preferred.
  • Familiarity of HIPAA privacy and security requirements and their application to healthcare data environments preferred.
  • Advanced knowledge of data warehouse design, data modeling, and ETL/ELT methodologies preferred.
  • Proficiency in SQL and Python, with hands-on industry experience is a must.
  • Knowledge of API integrations, JSON, XML, SFTP, and file-based data exchanges.
  • Experience in conducting code review a must; familiarity with unit, integration, and functional testing best practices and procedures preferred.
  • Strong project management skills a must; familiarity with Agile methodology preferred.
  • Experience with GitHub is a must; experience with Azure DevOps preferred.
  • Experience building, maintaining enterprise data pipelines and data stores.
  • Experience in extracting maximum value from low quality and/or error ridden input data preferred.


Soft Skills (Interpersonal Skills):

  • Strong communication and client-facing skills with the ability to work in a centralized technology environment.
  • Proven ability to lead, coach, mentor, and develop technical staff in a collaborative environment.
  • Ability to build collaborative relationships across business and technology teams.
  • Ability to lead organizational change and drive continuous process improvement initiatives.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong organizational skills with exceptional attention to detail and follow-through.
  • Ability to communicate technical concepts to non-technical audiences.


Education:

Bachelor's degree in Computer Science, Information Systems, or related field required.

Master's degree preferred.


Reasoning Ability:

High


Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions.

  • Under 1/3 of the time: Standing, Walking, Climbing or Balancing, Stooping, Kneeling, Crouching, or Crawling
  • Over 2/3 of the time: Talking or Hearing
  • 100% of the time: Using Hands


Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

  • 1/3 to 2/3 of the time: Work near moving or mechanical parts, exposure to radiation, moderate noise.