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Manager Data Analytics Engineer Jobs in New Jersey

3B Staffing LLC

Data Engineer / Analytics Engineer

Camden, NJ · On-site

$115K - $138K/yr

Manage data integration processes between Azure, Databricks, and Microsoft Fabric. * Monitor and ... Business Analytics & Stakeholder Engagement (50%) * Collaborate with business stakeholders to ...

Posted today

3B Staffing LLC

Data Engineer / Analytics Engineer

Camden, NJ · On-site

$115K - $138K/yr

Manage data integration processes between Azure, Databricks, and Microsoft Fabric. * Monitor and ... Business Analytics & Stakeholder Engagement (50%) * Collaborate with business stakeholders to ...

Posted today

AA2IT

Lead Data Analytics Engineer

Woodcliff Lake, NJ · On-site

$90 - $125/hr

Lead Data Analytics Engineer Rate: $90-$125/HR Location: Woodcliff Lake, NJ 07677 Duration: 1 year Qualifications: * Bachelor's or Master's degree in a relevant field such as: Data Science, Business ...

AA2IT

Lead Data Analytics Engineer

Woodcliff Lake, NJ · On-site

$90 - $125/hr

Lead Data Analytics Engineer Rate: $90-$125/HR Location: Woodcliff Lake, NJ 07677 Duration: 1 year Qualifications: * Bachelor's or Master's degree in a relevant field such as: Data Science, Business ...

Judge Group, Inc.

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

Our client is currently seeking a Data Analytics Analyst/Engineer- II Working Model: Hybrid - 3 ... Structure, manage, and extract data from applications. Apply statistics and modeling to provide ...

Barclays

Senior Data Analytics Developer

Whippany, NJ · On-site

Take ownership for managing risk and strengthening controls in relation to the work done. * Perform ... Barclays Services Corp. seeks Senior Data Analytics Developer in Whippany, NJ (multiple positions ...

Barclays

NJ · Hybrid

$185K/yr

Barclays Services Corp. seeks Senior Data Analytics Developer in Whippany, NJ (multiple positions ... Build reports using financial and Client Relationship Management (CRM) data points using ...

Vornado Realty Trust

Director of Data Analytics

Paramus, NJ · On-site

$200 - $250/hr

... management. With portfolio concentration in New York City, Vornado also owns premier assets of ... As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are ...

VNO-NCW

Director of Data Analytics

Paramus, NJ

... management. With portfolio concentration in New York City, Vornado also owns premier assets of ... As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are ...

VNO-NCW

Director of Data Analytics

Paramus, NJ · On-site

... management. With portfolio concentration in New York City, Vornado also owns premier assets of ... As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are ...

Pwc

Data Engineer - Manager

Florham Park, NJ · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in New Jersey

Manager Data Analytics Engineer information

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in New Jersey? The most popular types of Data Analytics Engineer jobs in New Jersey are:
What are popular job titles related to Manager Data Analytics Engineer jobs in New Jersey? For Manager Data Analytics Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in New Jersey look for? The top searched job categories for Manager Data Analytics Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Manager Data Analytics Engineer jobs? Cities in New Jersey with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in New Jersey as of June 2026, with employment types broken down into 3% As Needed, 78% Full Time, 13% Part Time, and 6% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Data Engineer / Analytics Engineer

3B Staffing LLC

Camden, NJ • On-site

$115K - $138K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a highly motivated Data Engineer / Analytics Engineer to join our growing Data & Analytics team. This role is ideal for a technically strong professional who also possesses exceptional analytical and business problem-solving skills. The successful candidate will play a key role in building and optimizing enterprise data platforms while partnering closely with business stakeholders to generate actionable insights that drive strategic decision-making.
This position offers a unique blend of hands-on data engineering responsibilities and business-facing analytics work, requiring an individual who can both build scalable data solutions and contribute meaningfully to business discussions.
Key Responsibilities
Data Engineering & Platform Development (50%)

  • Design, develop, and maintain scalable data pipelines within Microsoft Azure.
  • Build and optimize data ingestion processes using Azure Data Factory.
  • Develop transformation workflows using Databricks and Spark notebooks.
  • Create and maintain data models and transformation logic to support enterprise reporting and analytics.
  • Manage data integration processes between Azure, Databricks, and Microsoft Fabric.
  • Monitor and support production data pipelines, integrations, and scheduled jobs.
  • Implement infrastructure and platform enhancements using Terraform and Infrastructure-as-Code best practices.
  • Ensure data quality, performance, reliability, and scalability across the analytics ecosystem.
Business Analytics & Stakeholder Engagement (50%)
  • Collaborate with business stakeholders to understand key objectives and analytical requirements.
  • Participate in discussions to identify business opportunities, trends, and customer insights.
  • Help define analytical approaches and recommend data-driven solutions.
  • Analyze customer, operational, and market data to support strategic initiatives.
  • Translate complex business questions into actionable data solutions and recommendations.
  • Proactively identify opportunities for process improvements and enhanced reporting capabilities.
Key Initiatives
  • Support the migration of Oracle Business Intelligence (OBI) workloads to Microsoft Fabric.
  • Enhance and optimize the organization's Azure-based data platform.
  • Develop scalable reporting and analytics solutions for business users.
  • Drive adoption of data governance, platform standards, and best practices.
  • Partner with IT and business teams on enhancements, integrations, and analytics projects.
Platform Governance & Security
  • Maintain and enforce enterprise data platform standards and best practices.
  • Support Azure security policy remediation and compliance initiatives.
  • Collaborate with infrastructure teams to implement security and operational improvements through Terraform.
  • Contribute to platform governance and architecture discussions.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field, or equivalent experience.
  • Experience with:
    • Microsoft Azure
    • Azure Data Factory
    • Databricks
    • Apache Spark / Spark Notebooks
    • Microsoft Fabric
    • Logic Apps
    • Terraform
    • SQL Development
  • Strong understanding of data integration, ETL/ELT processes, and cloud-based data architectures.
  • Experience working with Infrastructure-as-Code methodologies.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience migrating reporting and analytics platforms to Microsoft Fabric.
  • Knowledge of enterprise data governance and security best practices.
  • Experience supporting business intelligence and analytics initiatives.
  • Ability to work independently and proactively identify opportunities for improvement.

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