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Data Engineer Jobs in Perth Amboy, NJ (NOW HIRING)

Recruit Professional Services

Data Engineer

Bedminster, NJ · On-site

$116K - $140K/yr

Data Engineer Responsibilities * Develop and maintain scripts and tools using Python, PowerShell, and R. * Design, write, and optimize SQL queries for performance and scalability. * Help modernize ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Jane Street

Data Engineer

New York, NY

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Sigma Computing

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

NxT Level

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building ...

New

NxT Level

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building ...

New

Amalgamated Bank of NY

Data Engineer

Manhattan, NY · On-site

$155K - $170K/yr

We are looking for a highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You ...

Courier Health

Data Engineer

New York, NY · On-site

$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 ...

Damco Solutions

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Damco Solutions is seeking a Data Engineer to join their team. The primary responsibility of this role is to deliver high-performing data solutions, including data warehouses and data marts, while ...

NxT Level

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building ...

New

Independence Pet Group

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function. Organized around four core pillars-Data Strategy ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Argyllinfotech

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is required Client: Mizuho bank Visa: ANY Looking for skilled Data engineer with comprehensive experience ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment ...

Ascot Group

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

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All JobsData Engineer JobsData Engineer Jobs in Perth Amboy, NJ

Data Engineer information

See Perth Amboy, NJ salary details

$45.7K

$133.3K

$182.4K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Perth Amboy, NJ is $133,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $141,300.00 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 Perth Amboy, NJ?

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

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What cities near Perth Amboy, NJ are hiring for Data Engineer jobs?

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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Perth Amboy, NJ as of August 2026, with employment types broken down into 84% Full Time, 7% Temporary, and 9% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $133,293 per year, or $64.1 per hour.

Data Engineer

Recruit Professional Services

Bedminster, NJ • On-site

$116K - $140K/yr

Other

Re-posted 8 days ago

Job description

Data Engineer
Responsibilities
  • Develop and maintain scripts and tools using Python, PowerShell, and R.
  • Design, write, and optimize SQL queries for performance and scalability.
  • Help modernize 'legacy' solutions to realign with our current code base and tech stack.
  • Assist in redevelopment, improvement and ongoing maintenance of existing data, analytics, and reporting solutions.
  • Ensure accurate and efficient data integration of diverse data sources and formats.
  • Enhance and support database functions and procedures.
  • Optimize data access and data processing workflows for performance, scalability, and efficiency/
  • Implement data quality checks and validations to ensure the accuracy, consistency, and completeness of data.
  • Identify and resolve performance bottlenecks, investigate and troubleshoot data related issues, and provide solutions to address defects.
  • Seamlessly transition between production support and development tasks based on business needs.
  • Deploy and manage code utilizing engineering best practices in non-prod and prod environments.

Requirements:
  • Bachelor's Degree in computer science, data science, software engineering, information systems, or related quantitative field.
  • Minimum 4 years of experience working as a Python Developer, Solutions Engineer, Data Engineer, or similar roles.
  • 4+ years of solid continuous experience in Python.
  • 3+ years of solid experience writing SQL and PL/SQL code.
  • 3+ years of experience working with relational databases (solid understanding of Oracle preferred).
  • 2+ years of experience scripting with PowerShell.
  • Experience programming in R.
  • Experience with web application frameworks including Shiny, Dash, Streamlit.
  • Experience with CI/CD utilizing git/Azure DevOps.
  • Knowledge of alternative storage formats including Parquet/Arrow/Avro.
  • Ability to collaborate within and across teams of different technical knowledge to support delivery of solutions.
  • Expert problem-solving skills, including debugging skills, enabling the determination of sources of issues in unfamiliar code or systems.
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