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Data Engineer Jobs in Montclair, NJ (NOW HIRING)

Systech Federal

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineer at Systech Federal, you will play a crucial role in designing, building, and maintaining scalable data pipelines and infrastructure that drive effective decision-making and ...

New

CAYS Inc

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Must have: -Python -Apache Airflow/DBT -Communication, both written & verbal -Kubernetes -OpenShift -8+ years of experience We are seeking a highly skilled Senior Data Engineer with 8+ years of hands ...

Canoe Intelligence

Data Engineer

Manhattan, NY · On-site +1

$110K - $140K/yr

TITLE: Data Engineer LOCATION: New York City (hybrid) or Fully Remote in the United States SALARY : $110,000 - $140,000 (based on NYC, will be adjusted for geo) The Role: We are seeking a Data ...

Mondo

Data Engineer

Manhattan, NY · Hybrid

$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 ...

Goldenpick Technologies

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Position: Data Engineer Location: Hybrid 3 days/week in Newark, NJ Duration: 6-month contract to hire Overview: We are seeking experienced Data Engineers to join a leading financial services ...

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 ...

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 ...

FanDuel

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling ...

FanDuel

Data Engineer

New York, NY

$125K - $150K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling ...

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 ...

Brooksource

Data Engineer

Manhattan, NY · On-site

$55 - $75/hr

Data Engineer New York, New York (Hybrid) Contract-to-hire $55 - $75 per hour ABOUT THE ROLE Join a centralized Data Platforms team supporting a Fortune Broadcast Media & Entertainment organization.

New

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 ...

FanDuel

Data Engineer

New York, NY · On-site

$125K - $150K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling ...

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 ...

Fusemachines

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are looking for a skilled Senior Data Engineer with a strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps and cloud-based large scale data applications ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Montclair, NJ

Data Engineer information

See Montclair, NJ salary details

$45.3K

$132.2K

$180.9K

How much do data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data engineer in Montclair, NJ is $132,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,100.00 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 are the most commonly searched types of Data Engineer jobs in Montclair, NJ? The most popular types of Data Engineer jobs in Montclair, NJ are:
What are popular job titles related to Data Engineer jobs in Montclair, NJ? For Data Engineer jobs in Montclair, NJ, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Montclair, NJ look for? The top searched job categories for Data Engineer jobs in Montclair, NJ are:
What cities near Montclair, NJ are hiring for Data Engineer jobs? Cities near Montclair, NJ with the most Data Engineer job openings:
Data Engineer jobs near you

Data Engineer

Systech Federal

New York, NY • On-site

$125K - $150K/yr

Full-time

Posted 4 days ago

New

Job description

Systech Federal is a leading staffing and recruiting firm dedicated to connecting top talent with premier organizations across various industries. We are currently seeking a highly skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer at Systech Federal, you will play a crucial role in designing, building, and maintaining scalable data pipelines and infrastructure that drive effective decision-making and business insights. This position requires a strong foundation in data architecture principles, experience with ETL processes, and proficiency in various data storage and processing technologies. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure data quality, reliability, and accessibility. The ideal candidate is passionate about leveraging data to solve complex problems and improve operations within the staffing and recruiting industry. If you thrive in a fast-paced environment and are eager to contribute to transformative staffing solutions through innovative data engineering practices, Systech Federal offers an exciting opportunity to advance your career and make a tangible impact.


Responsibilities
  • Design, develop, and maintain robust data pipelines and ETL processes to support business analytics and reporting.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable solutions.
  • Implement and optimize data storage solutions including data lakes, warehouses, and databases to ensure efficient data access.
  • Monitor and improve the performance, quality, and reliability of data systems across the organization.
  • Ensure data security and compliance with relevant regulations and company policies.
  • Develop documentation and best practices for data engineering processes and infrastructure.
  • Troubleshoot and resolve data-related issues promptly to maintain operational continuity.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer or similar role, preferably in the staffing or recruiting industry.
  • Strong proficiency in SQL and experience with relational and non-relational databases.
  • Hands-on experience with ETL tools and frameworks such as Apache Airflow, Talend, or Informatica.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka is highly desirable.
  • Proficient in programming languages such as Python, Java, or Scala for data processing tasks.
  • Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.