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Data Engineer Jobs in Union, NJ (NOW HIRING)

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and enterprise-scale data integration. * Proven experience developing scalable ETL/ELT pipelines and ...

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

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 ...

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 ...

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 ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer Location: NYC, NY * 3to 5 years of experience in Data Engineering using Python along with Pyspark/Spark - MUST * 3-5 years of experience in building big data solutions with pyspark ...

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 ...

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.

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All JobsData Engineer JobsData Engineer Jobs in Union, NJ

Data Engineer information

See Union, NJ salary details

$45.3K

$132.2K

$180.9K

How much do data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data engineer in Union, NJ is $132,186.00, 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
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What cities near Union, NJ are hiring for Data Engineer jobs? Cities near Union, NJ with the most Data Engineer job openings:
Data Engineer jobs near you
Data Engineer

Data Engineer

SmartIPlace

Jersey City, NJ • On-site

$119K - $143K/yr

Contractor

Posted 14 days ago

Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Data Engineer

Must Have Qualifications:

  • Strong hands-on experience in Data Engineering and enterprise-scale data integration.

  • Proven experience developing scalable ETL/ELT pipelines and distributed data processing solutions.

  • Strong SQL expertise with programming experience in Python, PySpark, or Snowpark.

  • Experience with dbt (Data Build Tool) for data transformation, modeling, ELT pipeline development, testing, documentation, and version control.

  • Hands-on experience with Snowflake, Databricks, Azure, AWS, or GCP.

  • Strong understanding of data lake, data warehouse, and lakehouse architectures.

  • Experience with orchestration tools such as Airflow, Databricks Workflows, or Snowflake Tasks.

  • Experience supporting Master Data Management (MDM) and enterprise data governance initiatives.

  • Familiarity with metadata management, data lineage, data cataloging, and data quality processes.

  • Experience integrating APIs, batch file ingestion, and real-time streaming technologies such as Kafka or Spark Streaming.

  • Knowledge of enterprise security, governance, RBAC, encryption, and data masking.

  • Experience working in Agile and DevOps environments with CI/CD pipelines.

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

Schedule: Standard

Position Overview

We are seeking a hands-on Data Engineer with strong experience building scalable enterprise data solutions within Financial Services environments. The ideal candidate will have expertise in cloud-based data platforms, modern data engineering practices, enterprise data integration, and Master Data Management (MDM). This role will support operational, analytical, and regulatory data initiatives while delivering secure, reliable, and scalable data solutions.

Responsibilities

  • Design, develop, and support scalable data pipelines and enterprise data integration solutions.

  • Build and maintain batch and real-time data ingestion, transformation, and processing frameworks.

  • Develop cloud-native data engineering solutions supporting enterprise data lake, warehouse, and lakehouse platforms.

  • Implement ETL/ELT processes for structured, semi-structured, and unstructured data sources.

  • Support Master Data Management (MDM) initiatives across security, account, client, and reference data domains.

  • Collaborate with architects, business analysts, governance teams, and application teams to deliver enterprise data solutions.

  • Implement data quality validation, monitoring, metadata management, and data lineage processes.

  • Support cloud migration and modernization initiatives involving legacy and enterprise data platforms.

  • Optimize data processing, storage, and pipeline performance for scalability and operational efficiency.

  • Ensure compliance with enterprise security, governance, and regulatory standards.

  • Support reporting, analytics, and downstream data consumption through reliable data delivery.

Preferred Skills

  • Financial Services or Banking industry experience.

  • Experience supporting regulatory, risk, compliance, or operational reporting environments.

  • Exposure to real-time data processing and streaming technologies.

  • Familiarity with CI/CD processes and infrastructure automation.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Excellent communication and collaboration abilities.

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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