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Data Engineer Jobs in Ridgewood, NJ (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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.

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 ...

Data Engineer

New York, NY · On-site

$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 ...

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 ...

Data Engineer

Short Hills, NJ · On-site

$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 ...

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 ...

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 ...

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 ...

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 ...

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:

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 ...

Showing results 21-40

Data Engineer information

See Ridgewood, NJ salary details

$45K

$131.2K

$179.6K

How much do data engineer jobs pay per year?

As of Aug 12, 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.

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.
What are the most commonly searched types of Data Engineer jobs in Ridgewood, NJ? The most popular types of Data Engineer jobs in Ridgewood, NJ are:
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:
Infographic showing various Data Engineer job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $131,245 per year, or $63.1 per hour.

$126K - $151K/yr

Other

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New York City Department Of Transportation rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

218th of 844 rated public administrative organizations


Job description

The IT & Telecom division is seeking a highly skilled, detail-oriented Data Engineer to support the Enterprise Data Science and Engineering Unit (EDSE). EDSE is a specialized team within the Agency dedicated to designing and operating advanced data storage and processing solutions capable of handling very large datasets, or "Big Data." In addition to overseeing Big Data operations, EDSE partners with Agency analysts and data scientists to empower leadership and planners with actionable, data-driven insights for critical projects and strategic initiatives.
The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based deliveries and the increasing use of electric micromobility devices such as e-bikes, mopeds, and scooters. DSD brings together data analytics, policy, enforcement, education, and industry oversight to address the unique safety and operational challenges posed by the commercial use of micromobility. By collaborating with DSD, the Data Engineer will help develop and maintain data systems that enable the division to monitor, analyze, and report on micromobility trends, support enforcement and policy initiatives, and ensure that data-driven insights contribute to a safer and more sustainable transportation future for New York City.
Under the direction and supervision of the Director, the Data Engineer will: architect, implement, and maintain scalable data pipelines using Apache NiFi for ETL and real-time data integration; design, optimize, and manage Snowflake data warehouses, including schema design, performance tuning, and security controls; administer Linux-based cloud environments (Azure, AWS, or GCP), including automation of deployments, patching, and monitoring; develop and maintain CI/CD workflows for data engineering solutions; collaborate with data scientists and analysts to deliver high-quality, production-ready datasets and analytics solutions; implement robust data governance, lineage, and auditing practices; troubleshoot and resolve issues across the data platform, including connectivity, performance, and security; mentor Agency staff and contribute to technical best practices and documentation; and perform other data engineering tasks as assigned to support a dynamic and fast-paced team, among other duties.
IT INFRASTRUCTURE ENGINEER - 95714


Minimum Qualifications

1. A baccalaureate degree from an accredited college in computer science, engineering or a related field and four years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,
2. A baccalaureate degree from an accredited college and eight years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,
3. Education and/or experience which is equivalent to "1" or "2" above.


Preferred Skills
- 3+ years hands-on experience architecting and operating Apache NiFi flows in production. - 3+ years of advanced Snowflake experience, including data sharing, security, and performance optimization. - Strong Linux administration skills in cloud environments experience with shell scripting and automation tools. - Fluency in Python, SQL - Experience integrating NiFi with cloud storage, databases, and APIs. - Familiarity with infrastructure-as-code (Terraform, Ansible) for cloud resource management. - Experience with Git-based workflows, including branching, merging, pull requests, and version control best practices - Experience with monitoring, alerting, and logging solutions for data platforms. - Knowledge of secure data handling, including TLS/SSL, role-based access, and compliance standards. - Cloud certification (Azure, AWS, or GCP) highly desirable. - Excellent organizational and interpersonal skills and ability to work cross-functionally. - Ability to effectively prioritize and execute tasks in a high-pressure environment. - Ability to understand and gather client requirements as well as provide a solution that meets or exceeds client expectations.
Public Service Loan Forgiveness
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website at https://studentaid.gov/pslf/.
Residency Requirement
New York City Residency is not required for this position
Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.


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