Data Engineering Manager Jobs in New Jersey
Data Engineering Manager jobs in New Jersey represent one of the most active markets in the Northeast, with demand concentrated in financial services, pharmaceuticals, and technology sectors and openings at every level from senior individual contributor transitions through VP-adjacent leadership. The heaviest hiring runs through Newark, Jersey City, and Princeton, where established employers like Johnson & Johnson, Prudential Financial, and Cognizant maintain significant data and technology operations. The most in-demand specializations include cloud data platform management, real-time pipeline architecture, and analytics engineering leadership. Find a role that fits below and apply directly.
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Showing 5 of 19+ Data Engineering Manager jobs
You will be poised to achieve extraordinary success and make a high impact on those around you through data solutions. Partner with an organization comprised of the industry's thought leaders and committed to advancing your leadership career.
As a Senior Director of Software Engineering at JPMorganChase within the Employee Platforms, Workforce Experience Technology (WxT) Workforce Data and Analytics (WDA) team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances You will lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP technology. Utilize your in-depth engineering knowledge and impact for data, analytics, applications, technical processes, and product management to lead multiple complex designs and initiatives making key decisions for your team, and drive innovation and solution delivery.
Job responsibilities
- Builds data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
- Champions proficiency in all aspects of the data production pipeline ensuring they are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
- Utilizes best practice trends in both test-driven and data-driven development.
- Creates modular designs that can be auto repeatable as frameworks to build a data production factory, minimizing ad hoc data generation.
- Leads data engineering scrum teams to achieve functional technology objectives while influencing peer leaders and senior stakeholders across the business, product, and data technology teams
- Partners with Product and Architecture to make strategic decisions that influence teams' resources, budget, tactical operations, and the implementation of processes and procedures.
- Executes at code level accountability for SDLC, design patterns and upskilling engineers
- Uplifts and modernizes data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption.
- Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
- Champions the firm's culture of diversity, equity, inclusion, and respect
- Transforms traditional HR/EX into modern data product offerings that scales for business needs.
Required qualifications, capabilities, and skills.
- Formal training or certification on Data Engineering concepts and 12+ years applied experience. In addition, 8+; years of experience leading technologists and software engineers to manage, anticipate and solve complex technical items within your domain of expertise.
- Hands-on Data Engineering development, testing, automation
- Practical experience with the following key technical skills including Databricks, DBX, PySpark, Spark, Cloud Providers: Databricks, AWS, Azure, Terraform, Kafka, Python/Scala, Glue/EMR, AI Developer Automation Tools (Unit Test)
- Experience and innovation in AI and Agentic SDLC
- BI Consumption with tools such as: Sigma, Genie, Tableau SaaS
- Ability to manage governance with Unity Catalogue and Data Access with Immuta
- Experience developing and leading cross-functional teams of technologists.
- Experience dealing with internet scale volume and size of data.
- Experience hiring, developing, and recognizing talent.
- Experience leading a product as a Product Owner or Product Manager
- Experience in Big Data technologies handling complex data processing requirements.
- Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)
Preferred qualifications, capabilities, and skills
- Experience working hands-on at code level
- Prior Financial Services experience is preferred.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
You will be poised to achieve extraordinary success and make a high impact on those around you through data solutions. Partner with an organization comprised of the industry's thought leaders and committed to advancing your leadership career.
As a Senior Director of Software Engineering at JPMorganChase within the Employee Platforms, Workforce Experience Technology (WxT) Workforce Data and Analytics (WDA) team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances You will lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP technology. Utilize your in-depth engineering knowledge and impact for data, analytics, applications, technical processes, and product management to lead multiple complex designs and initiatives making key decisions for your team, and drive innovation and solution delivery.
Job responsibilities
- Builds data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
- Champions proficiency in all aspects of the data production pipeline ensuring they are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
- Utilizes best practice trends in both test-driven and data-driven development.
- Creates modular designs that can be auto repeatable as frameworks to build a data production factory, minimizing ad hoc data generation.
- Leads data engineering scrum teams to achieve functional technology objectives while influencing peer leaders and senior stakeholders across the business, product, and data technology teams
- Partners with Product and Architecture to make strategic decisions that influence teams' resources, budget, tactical operations, and the implementation of processes and procedures.
- Executes at code level accountability for SDLC, design patterns and upskilling engineers
- Uplifts and modernizes data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption.
- Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
- Champions the firm's culture of diversity, equity, inclusion, and respect
- Transforms traditional HR/EX into modern data product offerings that scales for business needs.
Required qualifications, capabilities, and skills.
- Formal training or certification on Data Engineering concepts and 12+ years applied experience. In addition, 8+; years of experience leading technologists and software engineers to manage, anticipate and solve complex technical items within your domain of expertise.
- Hands-on Data Engineering development, testing, automation
- Practical experience with the following key technical skills including Databricks, DBX, PySpark, Spark, Cloud Providers: Databricks, AWS, Azure, Terraform, Kafka, Python/Scala, Glue/EMR, AI Developer Automation Tools (Unit Test)
- Experience and innovation in AI and Agentic SDLC
- BI Consumption with tools such as: Sigma, Genie, Tableau SaaS
- Ability to manage governance with Unity Catalogue and Data Access with Immuta
- Experience developing and leading cross-functional teams of technologists.
- Experience dealing with internet scale volume and size of data.
- Experience hiring, developing, and recognizing talent.
- Experience leading a product as a Product Owner or Product Manager
- Experience in Big Data technologies handling complex data processing requirements.
- Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)
Preferred qualifications, capabilities, and skills
- Experience working hands-on at code level
- Prior Financial Services experience is preferred.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
See All 19 Data Engineering Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Data Engineering Manager JobsData Engineering Manager Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Data Engineering Manager Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What New Jersey Employers Look For
The qualifications that appear most often in data engineering manager jobs across New Jersey.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Proven experience leading data engineering teams and managing end-to-end pipeline delivery
- Hands-on expertise with cloud data platforms such as AWS, Azure, or Google Cloud
- Strong proficiency in SQL, Python, and modern data orchestration tools like Apache Airflow
- Experience with data warehouse technologies including Snowflake, Databricks, or Redshift
- Demonstrated ability to partner with business stakeholders and translate requirements into data solutions
Data Engineering Manager Jobs in New Jersey: Frequently Asked Questions
How do you become a data engineering manager in New Jersey?
Data engineering manager roles in New Jersey do not require a state-issued license or certification. Most employers expect a bachelor's or master's degree in computer science, data engineering, or a closely related field, combined with several years of hands-on data engineering experience followed by a move into team leadership. New Jersey's dense concentration of financial services and life sciences firms means candidates who build domain knowledge in those industries alongside strong cloud and pipeline credentials have a clear advantage when applying locally.
Which companies hire data engineering managers in New Jersey?
Employers hiring data engineering managers in New Jersey right now include LTM Limited, JPMorganChase, and BAE Systems USA, based on current listings on Migrate Mate as of September 2026. New Jersey's mix of global pharmaceutical headquarters, financial services firms, and large technology consulting operations means openings appear consistently across a broad range of industries rather than clustering in a single sector.
Which New Jersey cities have the most data engineering manager jobs?
The cities with the most data engineering manager openings in New Jersey are Jersey City, Wayne, and Morris Plains. The distribution reflects New Jersey's employment geography: Newark and Jersey City draw heavily from their proximity to New York financial and technology firms, while Princeton and its surrounding corridor attract openings from pharmaceutical and life sciences companies such as Johnson & Johnson and Bristol Myers Squibb that maintain major campuses in central New Jersey.
Are there remote data engineering manager jobs in New Jersey?
Yes, and more than most fields, given that data engineering work is inherently desk-based and infrastructure-agnostic. About 80% of data engineering manager openings tied to New Jersey are remote or hybrid as of September 2026, reflecting the broader tech industry's comfort with distributed leadership. The most fully remote openings tend to be with cloud-native companies or technology consultancies, while financial services and pharma employers in New Jersey more commonly require hybrid schedules with regular on-site presence.
How can I get hired as a data engineering manager in New Jersey with little or no experience?
The most realistic entry path is building two to three years as a senior data engineer at a New Jersey employer, then stepping into a team lead or tech lead role before pursuing a full manager title. Large New Jersey technology and consulting employers often have internal rotational or leadership development programs that bridge that gap. Moving laterally from adjacent roles such as data architect, analytics engineer, or platform engineer is also common, particularly at pharmaceutical and financial services firms in the Princeton and Jersey City corridors where those titles overlap with engineering management responsibilities.
Where can I find and apply to data engineering manager jobs in New Jersey?
You can find and apply to data engineering manager jobs in New Jersey on Migrate Mate, which lists current New Jersey openings updated regularly. Search the available roles, find the ones that match your experience and preferred location, and apply directly to the employers posting them.
See All 19 Data Engineering Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Data Engineering Manager Jobs