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Associate Data Engineering Jobs in Union City, NJ

Associate Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Associate Data Engineer Location: Parsippany, NJ Duration: 6 Months Job Type: Temporary Assignment ... Ability to learn and apply reusable engineering patterns under guidance. * Ability to work with ...

Associate Data Scientist

Brooklyn, NY · On-site

$95K - $110K/yr

As an Associate Data Scientist at Amplify, you will join a talented, cross-functional team ... Partner with product managers, researchers, engineers, and content developers to answer complex ...

The Senior Associate, Data Engineer will join the Data & Analytics function within our Technology ... Develop modern data architecture and engineering standards that improve platform scalability ...

Senior Associate, Data Engineer

New York, NY · On-site

$180K - $200K/yr

The Senior Associate, Data Engineer will join the Data & Analytics function within our Technology ... Develop modern data architecture and engineering standards that improve platform scalability ...

Associate, Data Governance At BNY, our culture allows us to run our company better and enables ... related engineering background * Strong Excel skills and data analysis experience * Strong SQL ...

Associate Data Scientist

Manhattan, NY · On-site

$64K - $65K/yr

We are seeking an Associate Data Scientist for this entry-level role. You will work to support the ... Implement and maintain reliable ML/analytics pipelines, partnering with engineering as needed to ...

Lead Data Engineer - Data Engineering 4C

New York, NY · On-site

$125K - $150K/yr

Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle Required Skills Agile Methodology, Banking Capital Markets, Client Relations ...

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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 Aug 2, 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 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 does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and may assist in data quality and integration tasks under the supervision of senior engineers.

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 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 engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, specialized knowledge, or working in high-demand industries such as finance or technology. Achieving this level typically requires a combination of technical proficiency, certifications, and strategic career development.

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.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries around or above $200,000 annually. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, certifications, and industry demand.

What engineers make 200,000 a year?

Senior data engineers and specialized software engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High salaries are common in competitive markets and large organizations that require complex data infrastructure and engineering expertise.
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 cities near Union City, NJ are hiring for Associate Data Engineering jobs? Cities near Union City, NJ with the most Associate Data Engineering job openings:

Associate Data Engineer

Merican

Parsippany, NJ • On-site

$115K - $138K/yr

Contractor

Re-posted 22 days ago


Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Associate Data Engineer
Location: Parsippany, NJ
Duration: 6 Months
Job Type: Temporary Assignment
Work Type:Hybrid
Job Description
  • We are seeking a hands-on Associate Data Engineer with strong programming skills in Python and SQL and practical experience building scalable data ingestion, transformation, and quality pipelines using Azure ecosystem.
  • This role will focus on building scalable ingestion pipelines into the Bronze layer, developing Silver and Gold layer patterns, with strong focus on data quality, and enabling governed semantic models through Microsoft Fabric for analytics and reporting.

Key Responsibilities:
  • Implement medallion lakehouse architecture patterns across Bronze, Silver, and Gold layers.
  • Build and maintain ingestion pipelines that bring structured, semi-structured data, files, API sources into the Bronze layer of the lakehouse.
  • Develop Silver layer patterns focused on data cleaning, standardization, deduplication, validation, and business-rule application.
  • Develop Gold layer datasets that are curated, analytics-ready, and suitable for enterprise reporting and semantic model consumption.
  • Build reliable data pipelines using Azure Databricks, SQL, and Python.
  • Design and support orchestration workflows using Azure Data Factory Implement data quality checks, reconciliation logic, exception handling, and monitoring across pipelines.
  • Support enterprise data warehouse design, including dimensional modeling, star schemas, fact tables, and dimension tables.
  • Prepare curated datasets that support semantic models, governed reporting, dashboards, and business intelligence use cases.
  • Enable semantic layers and semantic models through Microsoft Fabric, including Fabric Lakehouse, Fabric Warehouse, OneLake, and Power BI semantic model integration.
  • Optimize data pipelines, transformations, models, and processing jobs for performance, scalability, and maintainability.
  • Collaborate with data analysts, BI developers, business stakeholders, and platform teams to translate requirements into trusted, reusable data products.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.

Required Skills and Experience:
  • Associate Data Engineer 1-2 years of industry experience in data engineering, data analysis, analytics engineering, or related data roles.
  • Strong knowledge of SQL and Python for data transformation, validation, and analysis.
  • Working experience in data platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric with focus on data ingestion, data cleaning, data validation, and data quality.
  • Industry experience in lakehouse architecture, including Bronze, Silver, and Gold data layers.
  • Strong understanding of data warehousing concepts, dimensional modeling, star schema, fact tables, and dimension tables.
  • Ability to learn and apply reusable engineering patterns under guidance.
  • Ability to work with business and technical teams to understand data requirements and deliver reliable data outputs.
  • Technical Skills: Python, SQL, PySpark, Pandas, Azure Databricks, Azure Data Factory, Snowflake, Star Schema, Dimensional Modeling and Microsoft Fabric.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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