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Data Engineer Jobs in Teaneck, NJ (NOW HIRING)

Canoe Intelligence

Data Engineer

Manhattan, NY · On-site +1

$110K - $140K/yr

TITLE: Data Engineer LOCATION: Hybrid in New York City SALARY : $110,000 - $140,000 The Role: We are seeking a Data Engineer to join our Data Engineering team. This team is building the data ...

TiltEdge Solutions LLC

Data Engineer

Jersey City, NJ · On-site

$75/hr

Job Title: Sr Data Engineer Location: Jersey City, NJ(Hybrid). Duration: 6-12 Months Rate: DOE : We are seeking a hands-on Data Engineer with strong experience in building scalable enterprise data ...

SysMind Tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer Location- New York, NY JD- Must have finance (investment/capital markets) experience We are looking for an experienced Data Engineer with expertise in SQL, python, and strong data ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Sarian, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

Mondo

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

Data Engineer (AVP Level), location is Hybrid (3 days/week onsite in NYC). The start date is ASAP (targeting end of summer) for this long-term contract-to-hire position. Job Title: Data Engineer (AVP ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

The Cypress Group

Data Engineer

New York, NY · Hybrid

$150K - $183K/yr

They are currently expanding their Data Engineering team based in New York City, NY. This role is hybrid on-site in the NYC Headquarters. Qualified candidates will have 3+ years of professional hands ...

Kimcorealty

Data Engineer

Jericho, NY · On-site

$115K - $140K/yr

The Data Engineer will play a critical role in designing, building, and scaling Kimco's enterprise data platform in the cloud. This role is responsible for developing modern data pipelines, enabling ...

GEI Consultants, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Page Group

Data Engineer

Manhattan, NY · On-site

$115K - $135K/yr

The Data Engineer will play a key role in designing, building, and maintainig scalable data pipelines, curated analytical data models, and cloud-based data products that support enterprise supply ...

The Cypress Group

Data Engineer

New York, NY · Hybrid

$200K - $230K/yr

The Data Engineer needs 3-5+ years of experience working as a Data Engineer building pipelines and ingestion/analytics engines w/ Python, SQL, ETL, DBT, AWS tooling, PostgreSQL, etc. ~70% pure Data ...

Dlapiper

Data Engineer

New York, NY

$125K - $150K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

GEI Consultants

Data Engineer

New York, NY · On-site

$125K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Mondo

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration: 6 Month Contract Compensation Range: $65-72/hour W2 Benefits: Eligible for Health, Dental, Vision ...

Dlapiper

Data Engineer

Short Hills, NJ

$124K - $149K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

GEI Consultants

Data Engineer

Manhattan, NY

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Courier Health

Data Engineer

New York, NY

$120K - $150K/yr

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 ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Teaneck, NJ

Data Engineer information

See Teaneck, NJ salary details

$49.1K

$143K

$195.7K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Teaneck, NJ is $143,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 and $151,600.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

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For Data Engineer jobs in Teaneck, NJ, the most frequently searched job titles are:

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

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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Teaneck, NJ as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $143,000 per year, or $68.8 per hour.

Data Engineer

Canoe Intelligence

Manhattan, NY • On-site, Remote

$110K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Engineer

LOCATION: Hybrid in New York City

SALARY: $110,000 - $140,000

The Role:

We are seeking a Data Engineer to join our Data Engineering team. This team is building the data foundations of Canoe’s industry-leading Alts Data Platform, and will play a critical role in its growth and expansion of offerings over the coming years. You will play a key role in designing and building scalable, reliable, and maintainable data systems, contributing to the architecture and development of our data platform, and helping define the Data Engineering team’s future direction.

What You’ll Do:

  • Contribute to the design and development of our Data platform.

  • Work closely with AI / ML Engineers to build intelligence and automation into all Canoe systems.

  • Design and implement data models, data pipelines, and data architectures in support of new Canoe product offerings.

  • Participate in cross-functional teams as Data Engineering’s representative.

  • Build observable systems and be an organization leader in operational excellence.

What We’re Looking For:

  • Minimum 5 years of experience in software development, with at least two in a Data Engineering role

  • Experience with SQL Databases and relational data modeling.

  • Experience working with data at scale.

  • A strong sense of ownership and accountability.

  • Curiosity and a willingness to learn new technologies.

  • Great communication skills.

  • A history of working well with technical and non-technical stakeholders.

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

  • Experience with our core technologies: Kafka(preferred), PostgreSQL or similar relational database, AWS or similar cloud service, Snowflake or redshift , Dbt (preferred), Airflow or similar orchestration tool.

What You’ll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend

  • Employee Assistance Program

  • Gym/Wifi reimbursement

  • Education assistance

  • Parental Leave

Our Values:

  • Client First —> Listen, and deliver client-centric solutions

  • Be An Owner —> Take initiative, improve situations, drive positive outcomes

  • Excellence —> Always set the highest standard for yourself and others

  • Win Together —> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.