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Data Engineer Jobs in Hackensack, NJ (NOW HIRING)

Mondo

Data Engineer

Manhattan, NY · Remote

$70 - $80/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Engineer Location: Remote (EST hours preferred) Duration: 4 Month Contract (through end of 2026) Pay Range: $70-80/hour W2 Hours: 40 hours/week (EST) Benefits: Eligible for Health, Dental ...

Empower Professionals

Data Engineer

Jersey City, NJ · On-site

$60/hr

Data Engineer Location: Jersey City, NJ (Hybrid) Duration: 12+ Months In-person interview needed Must have: Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT | Data Warehousing | Data ...

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type: Contract Note: Interview mode: (Final round will be in person Interview at client location) Note:

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and New Jersey :- Required Skills: * Proficiency in data engineering programming languages (preferably ...

BDG

Data Engineer

New York, NY · On-site +1

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

Software Guidance & Assistance

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Applies in-depth knowledge of data engineering principles, SQL development, and quality engineering (QE) fundamentals to improve data processes, workflows, and system reliability. * Applies strong ...

BDG

Data Engineer

New York, NY · On-site

$105K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

Jane Street

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Aita Consulting Services, Inc

Data Engineer

Totowa, NJ · On-site

$116K - $139K/yr

Identifies opportunities to automate data engineering processes and executes with direction of peers and management. * Maintains and improves the quality of data for all systems. * Ensures data ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) * 2. ...

Sigma Computing

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

Courier Health

Data Engineer

New York, NY · On-site

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Team You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Attention Arc

Data Engineer

Irvington, NY · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

WHAT YOU'LL DO As a Data Engineer , you will play a hands-on role in building, modernizing, and maintaining the data infrastructure that powers Attention Arc's media and analytics ecosystem. This ...

Solomon Page

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

We are partnering with a highly successful and growing investment management firm seeking a Senior Data Engineer to help transform and modernize its enterprise data platform. This is a unique ...

Arlo

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual ...

Michael Kors

Data Engineer

East Rutherford, NJ · On-site

$116K - $140K/yr

  • Retirement

  • PTO

The Data Engineer is a key member of the Global Data Platforms Team reporting to the Director of IT Data Operations. The Data Engineer will be responsible for building data delivery services that ...

Argyllinfotech

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is required Client: Mizuho bank Visa: ANY Looking for skilled Data engineer with comprehensive experience ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Hackensack, NJ

Data Engineer information

See Hackensack, NJ salary details

$48.5K

$141.5K

$193.6K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Hackensack, NJ is $141,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $150,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Hackensack, NJ?

The most popular types of Data Engineer jobs in Hackensack, NJ are:

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Hackensack, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $141,475 per year, or $68 per hour.

Data Engineer

Mondo

Manhattan, NY • Remote

$70 - $80/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 23 days ago

Job description

Title: Data Engineer

Location: Remote (EST hours preferred)

Duration: 4 Month Contract (through end of 2026)

Pay Range: $70-80/hour W2

Hours: 40 hours/week (EST)

Benefits: Eligible for Health, Dental, Vision, 401K

Must be authorized to work in the U.S. This position is not eligible for sponsorship.  

We're looking for a mid-level Data Engineer to join our team during a critical migration and peak season period. This role supports Audience Management — the systems and data that power how we understand and reach our customers/donors across their full journey (email, SMS, direct mail, phone).

You'll join a migration already in progress, moving our legacy data warehouse (Azure MS SQL) into Databricks, which will become the underlying data source for a new segmentation tool we're implementing. Roughly half of our processes have already been migrated — you'll help complete the remaining work while also supporting day-to-day data list pulls during our year-end peak season.

Job Summary:

  • Support and help complete the migration of legacy MS SQL scripts/processes into Databricks

  • Build and maintain dbt models as part of the new Databricks-based data architecture

  • Support Data List pulls for audience segmentation during year-end peak volume

  • Partner with the existing team of 2 data engineers already embedded in the migration

  • Review and validate migrated processes/scripts in collaboration with vendors

  • Help Client the groundwork for a new segmentation tool (currently in procurement/early implementation)

  • Work with data that maps customer/donor journeys — email, SMS, direct mail, and call outreach — to support full 360-degree audience views

Minimum Qualifications:

  • 4–7 years of hands-on data engineering experience 
  • Must have recent experience in the nonprofit industry
  • Strong, solid coding skills with real hands-on experience — not just theoretical
  • Required: hands-on experience with Databricks, SQL, and dbt
  • Experience migrating data warehouses (e.g., legacy SQL environments into Databricks or similar) strongly preferred
  • Comfortable working within an existing architecture and picking up work already in progress alongside other engineers
  • AI-related certifications or experience a plus (e.g., Databricks Genie)

Preferred Qualifications:

  • Prior experience in nonprofit (NFP) organizations, particularly supporting audience management, donor journeys, or fundraising data

  • If no direct NFP background, experience supporting customer/donor journey data (understanding not just the mechanics but the purpose behind journeys — how organizations build and maintain relationships with their audience over time) is valuable. This kind of journey-based audience work exists across nearly every industry, so direct NFP experience isn't required.