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Data Engineer Jobs in Ridgewood, NJ (NOW HIRING)

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.

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 ...

CYNET SYSTEMS

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

Job Overview: Pay Range: $55/hr - $60/hr Requirement/Must Have: * 10+ years of IT experience, with 7+ years of experience as an ETL/ELT developer/data engineer. * 3+ years of Databricks data ...

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 ...

Mondo

Data Engineer

Manhattan, NY · Hybrid

$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 ...

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 ...

Booz Allen Hamilton

Data Engineer

Wharton, NJ · On-site

$77K - $176K/yr

Job Number: R0241249 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data ...

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 ...

BLDG SVC 32 B-J

Data Engineer

Manhattan, NY · On-site

$100K - $115K/yr

As a Data Engineer you will get to play a key and a collaborative role in the delivery of powerful data-driven products that support 32BJ Health Fund's mission of providing high-quality and low-cost ...

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Wharton, NJ · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Booz Allen Hamilton, Inc.

Data Engineer

Wharton, NJ · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

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 ...

Booz Allen Hamilton

Data Engineer

Wharton, NJ · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever ...

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:

Shi International Corp.

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

As a Data Engineer, you will work with customers and internal stakeholders to understand their business needs and help them achieve outcomes with your solutions and guidance. You will research all ...

New

SHI

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

As a Data Engineer, you will work with customers and internal stakeholders to understand their business needs and help them achieve outcomes with your solutions and guidance. You will research all ...

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 ...

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 ...

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 ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Ridgewood, NJ

Data Engineer information

See Ridgewood, NJ salary details

$45K

$131.2K

$179.6K

How much do data engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data engineer in Ridgewood, NJ is $131,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $139,100.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What job categories do people searching Data Engineer jobs in Ridgewood, NJ look for? The top searched job categories for Data Engineer jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Data Engineer jobs? Cities near Ridgewood, NJ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Ridgewood, NJ as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $131,245 per year, or $63.1 per hour.

Data Engineer

Sarian, Inc.

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Re-posted 21 days ago

Job description

JD:
  • 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.
  • Hands-on experience in Snow SQL and exposure to Snowflake.
  • Must have strong experience in Python.
  • Exposure to Azure.
  • Design and implement technical specifications and business components using industry best practices and proven design patterns while utilizing OOAD and SOLID principles.
  • Perform analysis of user stories that may include complex functionalities.
  • Conduct high and low level design, development, testing, coding and issue/query resolutions.
  • Perform unit testing, integration testing while participating in configuration management and deployment procedures.
  • Participate in UAT/production support activities.
  • Experience with Agile SDLC processes.

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