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Associate Data Engineering Jobs in Union City, NJ

Senior Associate, Data Engineer

New York, NY ยท 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 Scientist

Brooklyn, NY ยท 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 ...

Associate Director, Data Engineering

New York, NY ยท On-site

$64K - $65K/yr

Research and Insights Associate Director, Data Engineering Omnicom Health Group is the largest healthcare marketing and communications network in the world-partnering with clients to achieve ...

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 ...

Join us as a Data Engineering, Senior Associate to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team. Make your mark in ...

AIG is a global leader in commercial and personal insurance solutions, seeking a Data Engineering Senior Associate to contribute to their technology-driven approach to risk management. The role ...

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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 11, 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 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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $75,190 per year, or $36.1 per hour.

Senior Associate, Data Engineer

ICONIQ

New York, NY โ€ข On-site

$180K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago


Job description

The Senior Associate, Data Engineer will join the Data & Analytics function within our Technology division, supporting our venture and growth business by designing, building, and evolving the firm's enterprise data platform. This role will help shape the long-term vision for ICONIQ's data ecosystem by delivering scalable, secure, and high-performing data infrastructure that powers analytics, reporting, artificial intelligence, and business insights.

What You'll Do:

  • Design, build, and optimize scalable data models, pipelines, and workflows that power the Growth data platform.
  • Develop modern data architecture and engineering standards that improve platform scalability, reliability, security, and performance.
  • Build robust data ingestion and transformation frameworks that integrate internal and third-party data into trusted, production-ready datasets.
  • Lead data governance initiatives, including metadata management, data lineage, access controls, monitoring, and data quality.
  • Develop data infrastructure that enables advanced analytics, artificial intelligence, machine learning, and enterprise knowledge management.
  • Partner closely with business stakeholders and engineering teams to translate evolving business needs into scalable technical solutions.
  • Optimize Snowflake performance through warehouse design, query optimization, and governance best practices.
  • Evaluate emerging technologies and contribute to the ongoing evolution of ICONIQ's data platform and AI capabilities.

Ideal Candidate Background:

  • 8+ years of experience in data engineering, analytics engineering, or a related technical field.
  • Deep expertise designing and operating enterprise-scale data platforms using Snowflake.
  • Advanced experience with Structured Query Language, including data modeling, query optimization, and performance tuning.
  • Strong Python programming skills for data engineering, automation, orchestration, and scalable pipeline development.
  • Experience building cloud-native data architectures, ingestion frameworks, and orchestration workflows.
  • Proven experience implementing enterprise data governance, metadata management, lineage, access controls, and data quality practices.
  • Experience supporting artificial intelligence and machine learning use cases through modern data infrastructure.
  • Familiarity with AI tools and technologies is a plus. We value team members who are curious about leveraging AI to enhance productivity, streamline workflows, and drive innovation.

What We Offer:

  • Comprehensive Medical, Dental and Vision Insurance starting on your first day of employment.
  • Life and disability insurance coverage as well as family and wellness benefits including mental health benefits, fertility benefits, and back-up childcare.
  • A matching 401(k) program.
  • Commuter Benefits program.
  • Stipends to support wellness and hybrid working arrangements.
  • We support employees who wish to pursue professional designations/certifications and offer tuition reimbursement in addition to an allocation for books and other supplies needed for an individual's coursework.
  • Smart-casual dress code.

Location: Applicants are expected to work onsite in our New York or San Francisco office in accordance with our hybrid working policy.

ย 

Compensation Range: ICONIQ is required by law to include a reasonable estimate of the salary range for this role. There are several factors taken into consideration in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At ICONIQ, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation terms. A reasonable estimate of the current salary range is $180,000-$200,000 together with the benefits listed above.


ICONIQ logo

About ICONIQ

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2020