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

Senior Data Engineer

Rye, NY ยท On-site

$112K - $152K/yr

Azure Data Engineer Associate * Databricks Certified Associate Developer for Apache Spark Knowledge: * Advanced SQL and Python for enterprise-scale data engineering-optimization, testing, and ...

Senior Data Engineer

Rye, NY ยท On-site

$112K - $152K/yr

Azure Data Engineer Associate โ€ข Databricks Certified Associate Developer for Apache Spark Company : New York Blood Center is a blood collection and distribution organization. Founded in 1964, the ...

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Data Engineer - Senior Manager

Florham Park, NJ ยท On-site

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Principal Associate, Data Scientist

New York, NY ยท On-site

$64K - $65K/yr

Principal Associate, Data Scientist Data is at the center of everything we do. As a startup, we ... Partner with a cross-functional team of data scientists, software engineers, and product managers ...

Lead Data Engineer - Data Engineering 4C

New York, NY ยท 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 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Senior Data Engineer

Manhattan, NY ยท On-site

$116K - $158K/yr

You will report to and work closely with the Associate Director of Data Engineering to establish and maintain the data platform standards and patterns. What you'll be doing Snowflake Data Layer Build

Associate Data Analyst

New York, NY ยท On-site

$70K - $77K/yr

Assess reporting results through data investigation, analysis, and evaluation * Proactively ... Experienced with SQL programming and Python/R. * Outstanding attention to detail, as well as ...

Showing results 41-60

Associate Data Engineer information

See Hackensack, NJ salary details

$10

$20

$33

How much do associate data engineer jobs pay per hour?

As of Aug 7, 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 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 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.

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 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:
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What cities near Hackensack, NJ are hiring for Associate Data Engineer jobs? Cities near Hackensack, NJ with the most Associate Data Engineer job openings:

Data Engineer (AWS & Python)

1 point system

Newark, NJ โ€ข On-site

$119K - $143K/yr

Contractor

Posted 7 days ago


Job description

Interview Process: 1st Round Video | 2nd Round Face-to-Face (F2F)

Position Overview

We are seeking a highly skilled and communicative Data Engineer to join our team on a hybrid basis in the NY/NJ area. The ideal candidate will have extensive hands-on experience building scalable data pipelines using Python and AWS cloud services. An active AWS Certification and exceptional communication skills (10/10) are required for this role as you will interact regularly with technical and non-technical stakeholders.

Key Responsibilities

  • Data Pipeline Development: Design, build, and maintain robust, automated ETL/ELT pipelines using Python and AWS technologies.
  • Cloud Architecture: Optimize data ingestion, storage, and processing using AWS services such as S3, Glue, Lambda, Redshift, EMR, or Athena.
  • Data Modeling & Optimization: Write complex SQL queries and design scalable data models and data warehouse solutions for downstream analytics.
  • Collaboration & Integration: Partner with cross-functional teams, analysts, and software engineers to ensure data accuracy, security, and availability.
  • Performance Tuning: Monitor, troubleshoot, and optimize pipeline performance and database queries to handle large datasets efficiently.

Required Qualifications & Skills

  • Technical Expertise:
    • Proven experience as a Data Engineer building production-grade data pipelines.
    • Python: Expert-level scripting and data manipulation skills (Pandas, PySpark, etc.).
    • AWS Ecosystem: Hands-on experience with core AWS data services (S3, Glue, Lambda, Redshift, IAM, Athena, CloudWatch).
    • SQL & Data Warehousing: Advanced proficiency in SQL and relational/non-relational databases.
  • Certifications: Active AWS Certification required (e.g., AWS Certified Data Engineer, AWS Solutions Architect, or Developer Associate).