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Associate Data Engineering Jobs in Union City, NJ

Associate - Data Engineer

Manhattan, NY · On-site

$60K - $85K/yr

Apply software engineering best practices-including version control, testing, and integration-to all analytics and data development work. Review code changes and approve pull requests (PRs) in Git to ...

Apply software engineering best practices-including version control, testing, and integration-to all analytics and data development work. Review code changes and approve pull requests (PRs) in Git to ...

Senior Associate, Data Architect Job Code : 43047 Job Location : Multiple (Rochester, NY, Melbourne ... Proficiency in Python and Git for data engineering tasks including scripting, automation, pipeline ...

Associate, Data Architect

Clifton, NJ · On-site

$74K - $138K/yr

Job Title: Associate, Data Architect Job Code: 43046 Job Location: Multiple (Rochester, NY ... Engineers and team members to understand data sources, structures, and pipelines that feed BI ...

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Associate Data Engineering information

See Union City, NJ salary details

$15

$36

$61

How much do associate data engineering jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for associate data engineering in Union City, NJ is $36.15, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $42.84 per hour, depending on experience, location, and employer.

What is an associate data engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What are some typical projects an associate data engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

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

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

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

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Union City, NJ?

The most popular types of Data Engineering jobs in Union City, NJ are:

What are popular job titles related to Associate Data Engineering jobs in Union City, NJ?

For Associate Data Engineering jobs in Union City, NJ, the most frequently searched job titles are:

Infographic showing various Associate Data Engineering job openings in Union City, NJ as of September 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $75,190 per year, or $36.1 per hour.

Data Engineer TX PP

Manhattan, NY • On-site

$100 - $125/hr

Other

Posted 7 days ago


Job description

Data Engineer TX PP Jobs in New York, NY - $97000 - $117000 per annum

We are hiring an Associate Data Engineer with 1–3 years of experience to join our data engineering team. The ideal candidate should have hands‑on experience with ETL processes, SQL, and cloud platforms, with the ability to design and maintain scalable data pipelines that support analytics and business operations.

Key Responsibilities
  • Design, build, and maintain data pipelines for structured and unstructured data.
  • Develop and optimize ETL processes to ensure efficient data flow.
  • Work with relational and NoSQL databases for data integration.
  • Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
  • Ensure data quality, integrity, and security across systems.
  • Write complex SQL queries for data extraction, transformation, and reporting.
  • Monitor, troubleshoot, and optimize data workflows for performance.
  • Maintain technical documentation for data pipelines and systems.
Qualifications
  • 1–3 years of experience in data engineering.
  • Proficiency with ETL tools and SQL.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP).
  • Knowledge of relational and NoSQL databases.
  • Strong analytical and problem‑solving skills.
Location

New York, NY

If interested, please text me at 7027818343 with your name and visa status and we will get back to you soon.

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