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Senior Data Engineer Manager Jobs in Hackensack, NJ

datafuelX Inc.

Sr Data Engineer

New York, NY · Hybrid

$125K - $150K/yr

About the Role We're looking for a Senior Data Engineer that is innovative, curious, and ... and manage large-scale analytical datasets * Solid understanding of data quality, testing ...

datafuelX Inc.

Sr Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role We're looking for a Senior Data Engineer that is innovative, curious, and ... and manage large-scale analytical datasets * Solid understanding of data quality, testing ...

datafuelX

Sr Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Summary : datafuelX is seeking a Senior Data Engineer to help evolve their data platform for ... and manage large-scale analytical datasets • Solid understanding of data quality, testing ...

Saransh Inc

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/yr

Senior Data Engineer - Position Summary The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. This role focuses on data ...

KPMG US

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

They are seeking a Data Engineer Manager to design and implement data pipelines, ensuring high-quality data input for AI solutions and collaborating with various teams to enhance data engineering ...

YieldStreet, Inc.

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

We partner with experienced investment managers to provide investors with a wide range of ... About the Role Willow Wealth is seeking a Senior Data Engineer who will be responsible for owning ...

Wagmo

Senior Data Engineer

New York, NY · On-site

$180K - $205K/yr

About The Role Wagmo is hiring a Senior Data Engineer to own our pipelines and data warehouse end to end. You'll make our data reliable enough to run the business on and clean enough for the AI tools ...

Versant Media

Senior Data Engineer

Manhattan, NY · Hybrid

$116K - $158K/yr

The Data Engineering team is seeking a Senior Data Engineer to help design, build, and scale the ... Optimize performance and manage costs through FinOps strategies, including cluster sizing, workload ...

Enigma Technologies, Inc.

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

Enigma Technologies, Inc. is on the verge of releasing innovative small business intelligence products and is looking for a Senior Data Engineer to join their team. The role involves designing ...

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All JobsData Engineer JobsSenior Data Engineer Manager JobsSenior Data Engineer Manager Jobs in Hackensack, NJ

Senior Data Engineer Manager information

See Hackensack, NJ salary details

$88.3K

$137.8K

$190.9K

How much do senior data engineer manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior data engineer manager in Hackensack, NJ is $137,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $157,100.00 per year, depending on experience, location, and employer.

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.

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

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are popular job titles related to Senior Data Engineer Manager jobs in Hackensack, NJ?

For Senior Data Engineer Manager jobs in Hackensack, NJ, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Manager jobs in Hackensack, NJ look for?

The top searched job categories for Senior Data Engineer Manager jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Senior Data Engineer Manager jobs?

Cities near Hackensack, NJ with the most Senior Data Engineer Manager job openings:

Senior Data Engineer Manager jobs near you
Infographic showing various Senior Data Engineer Manager job openings in Hackensack, NJ as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $137,780 per year, or $66.2 per hour.

Sr Data Engineer

datafuelX Inc.

New York, NY • Hybrid

$125K - $150K/yr

Full-time

Re-posted 20 days ago

Job description

About the Role


We're looking for a Senior Data Engineer that is innovative, curious, and collaborative to help
evolve the data platform that powers our sell-side media business. This role supports
data-driven workflows and a broad range of media monetization use cases, with an emphasis
on scalable, open data architectures.

You'll work on high-volume, revenue-critical media data while helping modernize how data is
stored, processed, and served across the organization. This is a hands-on role for engineers
who enjoy building, migrating, and improving platforms, not just maintaining them.

What You'll Do

  • Design, build, and maintain scalable, reliable data pipelines that support sell-side media
    monetization.
  • Ingest, integrate, transform, and model high-volume media and campaign data from
    multiple sources, delivering analytics-ready datasets that meet quality, accessibility, and
    business requirements.
  • Develop lakehouse-style data models that balance flexibility, performance, and cost
    efficiency, enabling reporting, analytics, operational workflows, and downstream
    consumption.
  • Build, optimize, and maintain ETL/ELT processes for both batch and near-real-time
    workloads, orchestrated with modern workflow tools (e.g., Airflow, Dagster).
  • Collaborate with machine learning, client-facing, product, application, and analytics teams to understand requirements, support ML feature productionization, and enable
    self-service insights.
  • Ensure data quality, lineage, observability, governance, and security, safeguarding cloud
    data assets and maintaining trust in revenue-critical systems.
  • Contribute to platform evolution and migration efforts, including evaluating tools,
    improving workflows, and reducing architectural complexity.
  • Continuously optimize pipelines, queries, and storage for performance, scalability, and
    cost efficiency.
  • Mentor junior engineers and participate in technical design and architecture reviews.
  • Detect, investigate, and resolve data anomalies to maintain pipeline reliability and data
    trustworthiness.

Required Experience & Skills

Core Requirements

  • 5+ years of experience in building highly scalable and reliable data engineering and
    analytics platforms
  • Strong experience building and optimizing modern data pipelines, architectures, and
    datasets using Data Lake, Data Warehouse, and Lakehouse paradigms
  • Advanced SQL, Python, and PySpark skills and experience building analytics-ready data models
  • Experience using Iceberg, Delta, and Parquet data formats
  • Experience using Dagster and Airflow orchestration tools
  • 2+ years hands-on experience with cloud platforms, such as GCP & AWS
  • Experience designing and building data pipelines on object storage-based platforms (e.g., S3, Wasabi, Dremio, Snowflake, Delta Lake) to process and manage large-scale analytical datasets
  • Solid understanding of data quality, testing, monitoring, and operational reliability
  • Strong communication skills and ability to work closely with technical and non-technical
    stakeholders
  • Experience collaborating with Software Engineers using Agile methodologies to build web applications that access, visualize, and sometimes update big data stores in a hybrid OLAP and OLTP environment.
  • Bachelor's degree or equivalent work experience (minimum 5 years) in Computer Science or related field

Preferred/Nice-to-Have

  • Experience in media industry strongly preferred including familiarity with sell-side
    concepts (linear TV or digital inventory, campaign delivery, pacing, audience-based selling and measurement)
  • 1+ years experience supporting or leading data platform migrations, hybrid architectures, or warehouse-to-lakehouse transitions using Dremio is a strong plus
  • Experience with Tableau, Metabase, or other data visualization tools
  • Experience working in an operational environment with time-sensitive customer
    commitments

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