ZipRecruiter

Log In

1

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

Moda Operandi

Manager of Data Engineering

Brooklyn, NY · On-site

$200K - $220K/yr

Moda Operandi is seeking a hands-on Manager of Data Engineering to lead the data engineering function supporting Moda Operandi, a luxury e-commerce business. This role is a player-coach who owns the ...

Dotdash Meredith

Manager, Data Operations

Manhattan, NY · On-site

$190K - $205K/yr

Accountabilities, Actions, and Expected Measurable Results 30% Data Engineering & Pipeline ... Manage and mentor a team of data engineers responsible for building and maintaining core data ...

Imprint

Data Engineering Senior Manager

Manhattan, NY · On-site

$180 - $230/hr

We're looking for a Data Engineering Senior Manager to lead this next phase of our Data Engineering organization. You will build and develop a high-performing team, raise the bar for analytics ...

New

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 ...

Everest Re Group

AVP, Data Engineering

Warren, NJ · Hybrid

$118K - $142K/yr

AVP, Data Engineering Company: Everest Global Services, Inc. Job Category: Technology About Everest ... Manage the engagement / coordination across assigned delivery teams to ensure high quality project ...

Versant Media

Director, Data Engineering

Manhattan, NY · On-site

Proven ability to manage and scale a growing team of data engineers, providing both technical guidance and career development. * Excellent communication skills to collaborate with other teams and ...

campus4tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... engineering pipelines, while leveraging GenAI to accelerate outcomes. Supporting roles include Data Engineers who will collaborate to build models, manage data pipelines, and ensure scalable data ...

Octaura

Intern, Data Engineering

New York, NY · On-site

... 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 ...

UpClear Inc.

Sr. Data Architect

Manhattan, NY · On-site

$150 - $200/hr

POSITION OVERVIEW We are hiring a Sr. Manager Data Engineering & Analytics to define our data strategy and build a high-performing data practice. You'll design and operate scalable data platforms ...

previous page

Showing results 41-60

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

Manager Data Engineering information

See Newark, NJ salary details

$32.4K

$101.6K

$179.9K

How much do manager data engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for manager data engineering in Newark, NJ is $101,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $131,200.00 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 are the most commonly searched types of Data Engineering jobs in Newark, NJ?

The most popular types of Data Engineering jobs in Newark, NJ are:

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

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

What job categories do people searching Manager Data Engineering jobs in Newark, NJ look for?

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

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

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

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Newark, NJ as of June 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,587 per year, or $48.8 per hour.

Manager of Data Engineering

Moda Operandi

Brooklyn, NY • On-site

$200K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Moda Operandi is seeking a hands-on Manager of Data Engineering to lead the data engineering function supporting Moda Operandi, a luxury e-commerce business. This role is a player-coach who owns the design, delivery, and operation of scalable data infrastructure that powers the full digital customer journey - including personalization, merchandising insights, inventory visibility, and performance analytics. The ideal candidate brings data engineering expertise, people leadership, and experience partnering across product, engineering, and business teams in a high-expectation retail environment.
Key Responsibilities
  • Data Engineering & Platform Ownership
  • Lead the design, development, and operation of scalable, production-grade data pipelines across e-commerce, CRM, ERP, order management, inventory, and marketing systems.
  • Architect and evolve the enterprise data platform, including data lakes, data warehouses, semantic layers, and APIs for analytics and downstream consumption
  • Ensure data reliability, quality, lineage, observability, and performance across all pipelines and datasets
  • Drive adoption of modern data engineering tools and best practices, including orchestration, transformation, and CI/CD for data workflows

E-Commerce Analytics Enablement
  • Partner with product, marketing, merchandising, and operations teams to define and deliver trusted datasets that support:
  • Customer conversion and lifetime value analysis
  • Product and category performance insights
  • Personalization, loyalty, and experimentation use cases
  • Support near-real-time and real-time data flows to enable personalization engines, marketing tech, and A/B testing platforms.
  • Implement self-service AI and analytics tools to replace manual, fragmented report requests

Leadership & Cross-Functional Collaboration
  • Manage, mentor, and grow a team of data engineers and data analysts, fostering a culture of technical excellence, accountability, and continuous improvement.
  • Translate business requirements into scalable technical solutions, balancing short-term delivery with long-term platform health.
  • Define and enforce data architecture standards, documentation, and governance practices.
  • Influence data strategy and roadmap in alignment with broader digital and brand experience goals.

Governance, Security & Compliance
  • Establish and maintain data governance, privacy, and access controls in line with GDPR, CCPA, and internal security standards.
  • Partner with Security and Risk teams to support audits, data classification, and incident response related to data systems
  • Prepare for the future
  • Establish an internal AI strategy that raises the productivity of the entire company.
  • Extend the data platform to support externally-facing AI features.

Qualifications:
Required
  • 5-8 years of experience in data engineering or analytics engineering, with 1-3 years in a leadership role.
  • Proven experience building and operating large-scale data platforms in an e-commerce or digital business.
  • Strong hands-on experience using modern data tools and frameworks.
  • Experience with cloud data platforms and warehouses such as Snowflake, BigQuery,Redshift, Looker, Tableau, dbt.
  • Demonstrated ability to deliver reliable, high-quality data products that support analytics, reporting, and machine learning.

Preferred
  • Experience in luxury retail, fashion, or premium consumer e-commerce environments.
  • Familiarity with real-time data streaming, personalization systems, and customer 360 data models.
  • Exposure to ML or AI data pipelines, including feature stores or MLOps concepts.
  • Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
  • Hands-on experience with Moda's core technologies: Shopify, NetSuite, Snowflake, and/or Looker.

Success Metrics
  • Stability, reliability, and performance of data pipelines and platforms, including across a full platform migration.
  • Speed and quality of delivery for priority data initiatives.
  • Adoption and business impact of data products across e-commerce teams.
  • Engagement, growth, and retention of the data team.

Job Type: Full-time; Hybrid role; NYC based (Brooklyn office space)
Salary: $200,000 - $220,000 per year + Discretionary Bonus
Benefits:
  • Medical, Dental & Vision Insurance Benefits (day1)
  • 401(k) with Company Match
  • Company Paid Life Insurance Benefit
  • Voluntary Supplemental Insurance Benefits (STD, LTD, Accident, Critical Illness)
  • Unlimited Paid Time Off (Exempt & FT)
  • Tuition Reimbursement

The above statements describe the general nature of work being performed in this role, they are not an exhaustive list of all responsibilities, duties and skills required. Additional responsibilities may be required from time to time. Moda Operandi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, partnership status, familial status, caregiver status, military or veteran status, citizenship status, arrest or conviction record, credit history, genetic information, unemployment status, status as a victim of domestic violence, stalking or sex offenses, or any other characteristic protected by applicable federal, state or local law.
For details on how we protect your information when you apply, please see our Applicant and Candidate Privacy Policy.
Moda Operandi is an e-commerce platform transforming the way people discover and shop for designer fashion. Through its innovative mix of commerce and content, Moda allows women to shop for what's new and what's next in designer fashion from the world's leading emerging designers and luxury brands. Founded in 2010, Moda Operandi's mission is to make it easy for designers to grow their businesses and consumers to realize their personal style. Today, Moda's platform carries more than 1,000 brands and designers across fashion, fine jewelry, home, and beauty, shipping to customers around the world.

Apply