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Associate Data Engineer Jobs in Belleville, NJ (NOW HIRING)

GEI Consultants

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

Manhattan, NY

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Overture Partners

DataBricks Data Engineer

New York, NY · On-site

$65 - $68/hr

Databricks Certified Data Engineer Associate or Professional certification is considered an advantage but is not required. W2 employees of Overture Partners who work 30 or more hours per week are ...

MTA Headquarters

Specialist Data Engineer

New York, NY · Hybrid

$114K - $134K/yr

Azure Data Engineer Associate is preferred. * Microsoft Certified: Azure Data Fundamentals is preferred. Knowledge, Skills and Abilities: * Strong knowledge of Big Data architectures, large data ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Belleville, NJ

Associate Data Engineer information

See Belleville, NJ salary details

$10

$19

$31

How much do associate data engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for associate data engineer in Belleville, NJ is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.29 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Belleville, NJ?

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

What job categories do people searching Associate Data Engineer jobs in Belleville, NJ look for?

The top searched job categories for Associate Data Engineer jobs in Belleville, NJ are:

What cities near Belleville, NJ are hiring for Associate Data Engineer jobs?

Cities near Belleville, NJ with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you

Data Engineer

3B Staffing LLC

Iselin, NJ • On-site

$116K - $139K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Engineer (Microsoft Fabric & Synapse)

Job Summary
We are seeking a skilled and experienced Data Engineer to join our team, focusing on the Microsoft data platform. The ideal candidate will have extensive hands-on experience in designing, building, and maintaining robust and scalable data pipelines using Microsoft Fabric, Azure Synapse Analytics, and Python. You will be responsible for orchestrating the flow of data from diverse sources into our analytical platform, enabling data-driven decision-making across the organization.

Key Responsibilities

  • Pipeline Development: Design, develop, and maintain efficient ETL/ELT data pipelines using Microsoft Fabric and its components, including Fabric Pipelines and Spark jobs.
  • Notebook-based Transformation: Write, test, and optimize Python notebooks (PySpark) within the Fabric/Synapse environment to perform complex data ingestion, cleansing, and transformation tasks.
  • Data Warehouse and Lakehouse Management: Implement and manage data storage solutions, leveraging Azure Data Lake and Fabric's OneLake for a modern lakehouse architecture.
  • Data Integration: Integrate data from a wide variety of sources, including transactional databases, APIs, and streaming platforms, into the centralized data platform.
  • Performance Tuning: Optimize data pipelines and Spark workloads for performance and cost efficiency, especially when dealing with large-scale datasets in Synapse Analytics.
  • Data Quality and Governance: Establish and enforce data quality and governance standards to ensure the accuracy, consistency, and reliability of data. Implement policies like row-level security and data classification.
  • Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data assets.
  • Automation and CI/CD: Ensure monitoring, logging, and implement CI/CD automation for data workflows using tools like Azure DevOps.

Required Skills and Qualifications

  • Proven experience as a Data Engineer with a focus on the Microsoft Azure ecosystem.
  • Strong hands-on experience with Microsoft Fabric, specifically its data engineering workloads (Notebooks, Pipelines, and Lakehouses).
  • Demonstrable expertise in Azure Synapse Analytics, including Synapse Notebooks (PySpark) and SQL pool resources.
  • Proficiency in Python for data manipulation, transformation, and automation.
  • Experience in building and maintaining ETL/ELT pipelines using Azure Data Factory and Fabric Pipelines.
  • Solid understanding of modern data architecture concepts, including data lakehouses and medallion architecture.
  • Strong SQL skills for querying and optimizing data workloads.
  • Familiarity with data governance tools and concepts, such as Microsoft Purview.
  • Experience with version control systems, such as Git.
  • Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

  • Experience with real-time or streaming data processing.
  • Knowledge of Power BI for building datasets and reports.
  • Relevant Microsoft certifications (e.g., Microsoft Certified: Fabric Data Engineer Associate).

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