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

ClifyX

Data Engineering Lead

Manhattan, NY · On-site

$126K - $151K/yr

ClifyX is a company seeking a Data Engineering Lead who will be responsible for designing and managing data pipelines and ensuring data quality and governance. The role involves collaborating with ...

BBR Partners

Director, Data Engineering

New York, NY · On-site

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

Director, Data Engineering

New York, NY · On-site

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

Director, Data Engineering

New York, NY

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 ...

ECS Resource Group

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 ...

Octaura

Intern, Data Engineering

New York, NY

... run and managed, while learning about the industry and developing applicable and transferable ... We are seeking motivated and enthusiastic summer interns to join our data engineering team. An ...

Chainalysis

Engineering Manager, Data Cloud

New York, NY · On-site

$173K - $245K/yr

Managed a team of 5-10 engineers building data infrastructure, data platforms, or backend systems at scale - with a genuine servant leadership philosophy * A software or data engineering background ...

BDG

Data Engineering Director

New York, NY · On-site

$165K - $190K/yr

As the head of our data engineering team, you will play a pivotal role in shaping BDG's data ... Strong organizational and stakeholder management skills with a user-centric approach. * Agile ...

EXL

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

... Engineering team. You will be responsible for architecting, implementing, and managing scalable data solutions on AWS. Candidate would be required to work from NJ office as part of this role.

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Showing results 21-40

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

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 Aug 8, 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?

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 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:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Colonia, NJ as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $98,801 per year, or $47.5 per hour.

Sr. Data Product Manager ( Data Governance & Investment Banking) : New York City, NY. : InPerson

Marvel Technologies Inc

New York, NY • On-site

Contractor

Re-posted 6 days ago

Job description

Our Client is seeking a Sr. Data Product Manager (Data Governance & Investment Banking) for New York City, NY.

Need local resumes with candidates open for Client In-Person interview.

Domain: Data Governance & Investment Banking experience is MUST.

Overview:

  • We are seeking an experienced **Data Product Manager** with a robust background in Data Engineering and a deep understanding of banking and financial services data.
  • The ideal candidate will play a pivotal role in defining, developing, and managing data products and solutions, working collaboratively with Data Engineers, Data Analysts, Data Scientists, and Business Stakeholders.
  • The candidate will leverage their technical expertise to ensure our data offerings are robust, scalable, and aligned with business needs and compliance standards.

Key Responsibilities:

Product Ownership & Strategy:

  • Define and prioritize data products, features, and roadmaps aligned with banking operations and analytics requirements.
  • Develop a comprehensive understanding of business needs related to data, translating these into actionable product requirements.
  • Collaborate with stakeholders to gather, refine, and document data requirements, ensuring alignment with organizational goals.

Cross-Functional Collaboration::

  • Work closely with Data Engineers to design, develop, and enhance scalable data pipelines, ensuring they meet quality and performance standards.
  • Coordinate with Data Analysts and Data Scientists to facilitate data access, usability, and analytics.
  • Act as a liaison between technical teams and business units to facilitate clear communication and understanding.

Data Governance & Compliance:

  • Ensure all data products are developed and maintained in compliance with banking industry data security, privacy, and governance standards.
  • Define and implement policies for data quality, integrity, and security.

Data Lifecycle & Release Management:

  • Oversee the end-to-end lifecycle of data products, from development and testing to deployment and monitoring.
  • Manage release schedules, coordinate deployment activities, and ensure robust version control.
  • Implement processes for continuous improvement and automation of data workflows.

Technical Oversight & Knowledge:

  • Maintain strong understanding of Data Engineering processes, including data warehousing, ETL/ELT workflows, and cloud platforms like Snowflake, Azure, and Databricks.
  • Provide technical guidance and support to Data Engineers on best practices in data architecture, pipelines, and security standards.
  • Stay updated on latest industry trends, tools, and best practices, integrating them into the data product roadmap.

Performance Monitoring & Optimization:

  • Monitor data product performance, troubleshoot issues, and collaborate with engineering teams for tuning and optimization.
  • Collect feedback from users to iterate and improve data solutions.

Documentation & Training:

  • Maintain clear documentation of data products, architecture, and processes.
  • Conduct training sessions or workshops to facilitate effective utilization of data assets among stakeholders.

Required Skills & Experience:

  • Proven experience as a Data Product Manager or similar role with a strong technical background in Data Engineering.
  • Deep understanding of Snowflake, Python, Pyspark, SQL, and cloud data platforms.
  • Extensive experience with data warehousing, ETL/ELT processes, and data pipeline management.
  • Strong knowledge of banking and financial industry data, including compliance, security, and privacy standards.
  • Able to bridge the technical and business worlds, translating complex data concepts into understandable solutions.
  • Familiar with release management, CI/CD practices, and version control.
  • Excellent communication, stakeholder management, and collaboration skills.
  • Experience working with Data Engineers, Data Analysts, and Business Stakeholders in a fast-paced environment.

Preferred Qualifications:

  • Experience working with Azure, Databricks, and related cloud services.
  • Knowledge of streaming technologies like Apache Kafka.
  • Familiarity with DevOps practices, CI/CD pipelines, and Agile methodologies.
  • Prior experience in the banking or financial services industries.