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

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 ...

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 ...

ABOUT THE ROLE Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across ...

Data Engineering Manager

New York, NY · On-site

$173K - $213K/yr

ABOUT THE ROLE Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across ...

Manager of Data Engineering ID: 1038 Location: Brooklyn, NY More about this job > Description Moda Operandi is seeking a hands-on Manager of Data Engineering to lead the data engineering function ...

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 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 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 ...

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 ...

New

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 ...

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Manager Data Engineering information

See Secaucus, NJ salary details

$31.5K

$98.8K

$174.9K

How much do manager data engineering jobs pay per year?

As of Jul 18, 2026, the average yearly pay for manager data engineering in Secaucus, NJ is $98,765.00, 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, and why are they important?

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 Manager Data Engineering roles and responsibilities?

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 of 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 the most commonly searched types of Data Engineering jobs in Secaucus, NJ? The most popular types of Data Engineering jobs in Secaucus, NJ are:
What are popular job titles related to Manager Data Engineering jobs in Secaucus, NJ? For Manager Data Engineering jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Secaucus, NJ look for? The top searched job categories for Manager Data Engineering jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Manager Data Engineering jobs? Cities near Secaucus, NJ with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Secaucus, NJ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,765 per year, or $47.5 per hour.
Senior Manager, Data Engineering

Senior Manager, Data Engineering

Justworks

Manhattan, NY • On-site

Other

Re-posted 8 days ago


Justworks rating

8.4

Company rating: 8.4 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

35th of 210 rated it services


Job description

Who We Are
At Justworks, you'll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.
We're helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We're data-driven and never stop iterating. If you'd like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we'd love to hear from you.
We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team.
Our Values
If this sounds like you, you'll fit right in.
Department
Technology, Data & AI
About The Team
The Data & Analytics team is Justworks' data and AI center of excellence - a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us!
The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on.
Who You Are
You're a hands-on engineering leader with deep experience building and operating modern data platforms. You've led teams through scale - evolving architecture, improving reliability, and making hard tradeoffs between speed, cost, and quality. You're as comfortable reviewing a PR or debugging a pipeline failure as you are setting quarterly roadmap priorities or presenting a platform strategy to senior leadership.
You think in systems - how pipelines, orchestration, governance, and observability connect to produce a trustworthy platform - and you know how to build a team that operates with both craft and urgency. You develop engineers, set a high technical bar, and create an environment where people grow.
You bring strong opinions grounded in experience with modern PaaS data stack technologies - Snowflake, Fivetran, Airflow, dbt, Estuary - and you've seen what works and what doesn't at scale. Snowflake is core to how we operate and you should have depth there.
Reporting to the VP of Data & Analytics, you'll lead the data platform organization, setting technical direction, driving operational excellence, and ensuring the platform is reliable, scalable, and built to support the company's growth.
Your Success Profile
What You Will Work On
Platform Leadership & Technical Direction
  • Own the technical direction of Justworks' core data platform - pipelines, infrastructure, orchestration, and the standards that keep it trustworthy
  • Lead architectural decisions on cloud data infrastructure, balancing scalability, cost, reliability, and security
  • Drive operational excellence across the platform - observability, data quality, cost optimization, incident management, and SLAs
  • Set and enforce engineering standards - testing, documentation, CI/CD, and code review best practices
  • Maintain and evolve infrastructure as code, ensuring the platform is auditable, repeatable, and resilient

Team Leadership & Development
  • 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 reviews, and foster a culture of continuous improvement
  • Recruit and hire high-caliber data engineers as the platform team grows
  • Create an environment where engineers develop their skills, take ownership, and do the best work of their careers

Cross-Functional Partnership & Delivery
  • Partner with DNA functional teams (e.g. Analytics Engineering, BI, Data Science) and distributed Data Engineering teams to ensure the platform serves the full breadth of org needs
  • Collaborate with other engineering teams to align on data contracts, security, compliance, and shared infrastructure
  • Drive planning processes that connect platform priorities to DNA's overall strategy and enterprise OKRs
How You Will Do Your Work
As a Sr. Manager, Data Platform Engineering,, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities, and personal attributes are anchored in the following competencies:
  • Plans & Aligns - Ensures individual actions support company mission; communicates effectively; understands urgency and plans accordingly
  • Balances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders.
  • Influence and Leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization.
  • Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
  • Good Judgment - Pauses before acting; asks questions to fully understand context; applies critical thinking and takes ownership of outcomes
  • Teamwork & Communication - Honors diverse thoughts and opinions; leverages unique skills to maximize efficiency
  • Skills and Knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:
  • Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You're an active listener, treat people respectfully, and have a strong desire to know and help others.
  • Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You're curious, ask open questions, and are receptive to thoughts and feedback from others.
  • Grit - You demonstrate grit by having the courage to commit and persevere. You're committed, earnest, and dive in to get the job done well with a positive attitude.
  • Integrity - Simply put, do what you say and say what you'll do. You're honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
  • Simplicity - Be like Einstein: "Everything should be made as simple as possible, but no simpler."
Qualifications
You're a builder who applies systems thinking to internal infrastructure. You're comfortable working across a diverse data organization and partnering with leadership to turn fragmented ways of working into scalable, durable systems.
  • 10+ years of professional experience in data engineering, with at least 5 years working hands-on with modern PaaS data stack technologies (Snowflake, Fivetran, Airflow, dbt, Estuary, or equivalent)
  • Deep Snowflake expertise - schema design, query optimization, cost governance, data sharing, and performance tuning at scale
  • 5+ years of engineering management experience, including experience managing managers or leading a multi-team engineering organization
  • Strong architectural judgment - able to make sound decisions on pipeline design, infrastructure patterns, and platform evolution
  • Experience leading a distributed engineering team across multiple workstreams and delivery tracks
  • Deep proficiency in SQL and Python; recognized by peers for technical rigor
  • Strong expertise with AWS services (S3, Lambda, Fargate, Redshift, Kinesis) and infrastructure-as-code (Terraform, CloudFormation)
  • Strong experience with data governance, security, and compliance in a production environment
  • Excellent communicator - able to engage technical and non-technical stakeholders, present platform strategy to senior leadership, and translate infrastructure investments into business terms
  • Comfortable navigating ambiguity and driving work forward in a fast-moving environment
  • Point of view on how AI is changing data platform engineering - both in how the team works and what the platform enables

Nice to have
  • Experience building data platforms that support ML/AI workloads (feature stores, model pipelines, vector stores)
  • Background in a regulated or compliance-sensitive environment (fintech, HR tech, healthcare)
  • Experience with streaming/CDC technologies (Estuary, Kafka, Debezium)
Technologies Used
  • Languages: Python, SQL, Terraform
  • Data & Analytics: Snowflake, dbt, Fivetran
  • Streaming & CDC: Estuary
  • Workflow Orchestration: Airflow, MWAA
  • Cloud: AWS (S3, Lambda, Fargate, Redshift, Kinesis, Step Functions, EventBridge)
  • Observability & Monitoring: Datadog
  • CI/CD: CircleCI, GitHub Actions

The base wage range for this position based in our New York City Office is targeted at $240,000.00 - $310,000.00 per year.
#LI-DG2 #LI-Hybrid
Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location.
For more information about Justworks' Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks.
Diversity At Justworks
Justworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers.
We're proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or familial status, disability, pregnancy, gender identity or expression, veteran status, genetic information, or any other legally protected status. Justworks is fully dedicated to providing necessary support to candidates with disabilities who may require reasonable accommodations. We also provide reasonable accommodations to employees based on their sincerely held religious beliefs, as well as for other covered reasons consistent with applicable federal, state, and local laws. If you're in need of a reasonable accommodation, please reach out to us at Your comfort and success matter to us, and we're here to ensure an inclusive experience.
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