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

Associate Data Engineer

Parsippany, NJ ยท On-site

$115K - $138K/yr

Associate Data Engineer Location: Parsippany, NJ Duration: 6 Months Job Type: Temporary Assignment Work Type:Hybrid * We are seeking a hands-on Associate Data Engineer with strong programming skills ...

Associate - Data Engineer

Manhattan, NY ยท On-site

$81K - $115K/yr

At New York Life you will join a team of data engineers focused on delivering clean, well-structured, and reliable data to power various business and AI solutions across the enterprise. In this role ...

New

Associate - Data Engineer

Manhattan, NY ยท On-site

$120K - $140K/yr

Lead Software Engineer Corporate Title: Associate Department: Technology Location: New York, NY The ... Support data analytics and data science initiatives with optimized data structures and AI/ML tools

Associate - Data Engineer

Manhattan, NY ยท On-site

$120K - $140K/yr

Lead Software Engineer Corporate Title: Associate Department: Technology Location: New York, NY The ... Support data analytics and data science initiatives with optimized data structures and AI/ML tools

Data Engineer Associate

Manhattan, NY ยท On-site

$125K - $150K/yr

Our client, a prosperous prop trading firm with headquarters in NYC, is currently recruiting for a Data Engineer Associate on our ElectronicTrading Strategies (ETS) desk. ETS focuses on identifying ...

Our client, a prosperous prop trading firm with headquarters in NYC, is currently recruiting for a Data Engineer Associate on our ElectronicTrading Strategies (ETS) desk. ETS focuses on identifying ...

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

Databricks Certified Associate Developer for Apache Spark * Databricks Certified Data Engineer Associate * Microsoft Certified: Azure Fundamentals * Microsoft Certified: Azure Data Engineer Associate

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for associate data engineer in Hackensack, NJ is $20.44, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.78 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

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, 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 is the salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

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 AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

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 typically collaborate with data scientists and engineers to ensure data quality and accessibility.

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 are the most commonly searched types of Data Engineer jobs in Hackensack, NJ? The most popular types of Data Engineer jobs in Hackensack, NJ are:
What are popular job titles related to Associate Data Engineer jobs in Hackensack, NJ? For Associate Data Engineer jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Hackensack, NJ look for? The top searched job categories for Associate Data Engineer jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Associate Data Engineer jobs? Cities near Hackensack, NJ with the most Associate Data Engineer job openings:
Associate Data Engineer

Associate Data Engineer

Merican

Parsippany, NJ โ€ข On-site

$115K - $138K/yr

Contractor

Posted 15 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.

TekWissenยฎ 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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