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Weekend Data Engineer Jobs in New Jersey (NOW HIRING)

USCS

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled logistics networks in North America. Every day, our systems coordinate the storage and movement of ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled logistics networks in North America. Every day, our systems coordinate the storage and movement of ...

United States Cold Storage Inc

Data Engineer I

Camden, NJ

$115K - $138K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled logistics networks in North America. Every day, our systems coordinate the storage and movement of ...

Theradex Oncology

Data Engineer

Princeton, NJ · On-site

$130K - $160K/yr

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

Theradex Oncology

Data Engineer

Princeton, NJ · On-site

$130K - $160K/yr

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

NAVA Software Solutions

Data Engineer - Azure

Weehawken, NJ · On-site

$124K - $149K/yr

Cloud Data Engineer/Strong in Azure Location - Weehawken NJ - Hybrid Type: FTE / Direct Hire We are seeking a highly skilled and experienced Cloud Data Engineer to join our team. As a Cloud Data ...

Cyber Space Technologies LLC

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Location: Jersey City, NJ Responsibilities * Design and develop ETL/ELT pipelines using Databricks and PySpark . * Ingest data from multiple sources and transform it for analytics.

Veolia Environnement SA

Data Engineer

Paramus, NJ · On-site

$169K - $175K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support enterprise analytics, reporting, and AI initiatives. This role ensures ...

Theradex Oncology

Data Engineer

Princeton, NJ

$130K - $160K/yr

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

Veolia Environnement SA

Data Engineer

Paramus, NJ · On-site

$169K - $175K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support enterprise analytics, reporting, and AI initiatives. This role ensures ...

United States Cold Storage Inc

Data Engineer I

Camden, NJ · On-site

$90 - $100/hr

Our Data Engineering team builds and supports trusted, scalable, and secure data platforms that power analytics, reporting, forecasting, and machine learning solutions across the enterprise If you ...

KPMG US

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

The role involves designing and implementing data pipelines, establishing best practices for data engineering, and collaborating with AI teams to enhance data schemas for AI solutions.

KPMG US

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

They are seeking a Data Engineer Manager to design and implement data pipelines, ensuring high-quality data input for AI solutions and collaborating with various teams to enhance data engineering ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer (with Strong Python Coding) Jersey City New Jersey (Hybrid role) Must have: Python, Pyspark (3-4 years) AWS Data Transformation exp. Nice to have: Certifications - AWS Solutions ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

You will bring engineering rigour to data - treating pipelines, models, and infrastructure as production-grade software - while staying closely connected to the digital business context your work ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

You will bring engineering rigour to data -- treating pipelines, models, and infrastructure as production-grade software -- while staying closely connected to the digital business context your work ...

AIG

Data Engineer Lead

Parsippany, NJ · On-site

$115K - $138K/yr

Data Engineer Lead AIG | Data Office Data Engineering About The Role The Data Engineer Lead is a hands-on engineering role within AIG's Data Engineering organization. You will design, build, and ...

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All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in New Jersey

Weekend Data Engineer information

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in New Jersey?

The most popular types of Data Engineer jobs in New Jersey are:

What are popular job titles related to Weekend Data Engineer jobs in New Jersey?

For Weekend Data Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in New Jersey look for?

The top searched job categories for Weekend Data Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Weekend Data Engineer jobs?

Cities in New Jersey with the most Weekend Data Engineer job openings:

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer I

USCS

Camden, NJ • On-site

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Data Engineer I
Who We Are
US Cold owns and operates one of the most complex temperature-controlled logistics networks in North America. Every day, our systems coordinate the storage and movement of food at national scale across a network of state-of-the-art distribution centers, including multiple highly automated warehouse facilities
As US Cold continues to modernize its technology landscape, data has become a critical asset driving operational excellence, business intelligence, automation, and AI-enabled decision making across the organization. Our Data Engineering team builds and supports trusted, scalable, and secure data platforms that power analytics, reporting, forecasting, and machine learning solutions across the enterprise
If you are passionate about building modern data solutions, learning emerging technologies, and helping transform data into business value, this is that opportunity
The Role
The Data Engineer I helps design, build, and support the data platforms and pipelines that power analytics, reporting, operational insights, and AI-driven solutions at US Cold Storage. You will work closely with Data Engineers, Data Scientists, Analytics Engineers, and business stakeholders to ensure reliable, high-quality data is available for decision-making across the organization
This role is ideal for an early-career data professional with strong SQL and Python fundamentals who is eager to learn modern cloud data platforms, data engineering practices, and production-scale data operations.
What You Will Own
  • Design, build, test, and maintain batch and streaming data pipelines
  • Develop and support data ingestion processes from databases, APIs, files, logs, and other enterprise systems
  • Write clean, maintainable SQL and Python code to support data transformation and pipeline orchestration
  • Monitor and improve data quality, reliability, freshness, and observability across assigned datasets
  • Support analytics, reporting, and data science initiatives through the delivery of trusted data assets
  • Apply best practices in data modeling, testing, source control, documentation, and deployment
  • Participate in agile ceremonies, code reviews, and technical design discussions
  • Troubleshoot pipeline failures and support root-cause analysis efforts
  • Contribute to automation and continuous improvement initiatives across the data platform
  • Collaborate with business and technical teams to understand data requirements and deliver scalable solutions
  • Support production data environments and participate in operational support activities when required
  • Stay current on modern data engineering, cloud technologies, analytics platforms, and AI-enabled data workflows

Technical Environment
  • SQL and Python
  • Batch and Streaming Data Pipelines
  • ETL and ELT Frameworks
  • Snowflake, Azure Synapse, BigQuery, Redshift, or Similar Cloud Data Warehouses
  • Azure, AWS, or GCP Cloud Platforms
  • Data Modeling and Data Quality Frameworks
  • Git and Source Control Platforms
  • Power BI and Tableau
  • AI, Machine Learning, and LLM-Enabled Data

What We're Looking For
  • 1-2 years of professional experience in Data Engineering or a related technical field
  • Strong SQL skills including joins, aggregations, window functions, and query optimization
  • Experience developing solutions using Python or similar programming languages
  • Understanding of data pipelines, ETL/ELT processes, data modeling, and modern data architectures
  • Familiarity with cloud platforms such as Azure, AWS, or GCP
  • Strong analytical, troubleshooting, and problem-solving skills
  • Ability to communicate effectively with both technical and business stakeholders
  • Demonstrated curiosity, adaptability, and desire to learn emerging technologies
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Information Systems, Engineering, or a related discipline, or equivalent experience

Preferred Qualifications
  • Experience with Snowflake, Azure Synapse, BigQuery, Redshift, or similar cloud data platforms
  • Exposure to AI, prompt engineering, LLM pipelines, or advanced analytics solutions
  • Understanding of data governance, privacy, security, and access management principles
  • Experience with business intelligence and visualization tools such as Power BI or Tableau
  • Participation in open-source projects, hackathons, academic research, or technical portfolio work
  • Exposure to enterprise-scale data environments and cloud-native architectures

Why This Role Is Different
  • You will help build and support the data foundation that powers analytics and operational decision-making across US Cold Storage
  • You will gain hands-on experience with modern cloud data technologies and AI-enabled solutions
  • You will collaborate with data engineers, scientists, analysts, and business leaders across multiple functions
  • You will contribute to high-impact initiatives that improve efficiency, visibility, and innovation throughout the organization
  • You will have opportunities to grow your technical skills and advance within a rapidly modernizing technology team

Compensation & Structure
  • Salary Range: $90,000 - $100,000/year
  • Location: Camden, NJ (Hybrid)
  • Travel: Less than 10%
  • Reports To: Lead Data Engineer
  • Employment Type: Full-Time, Exempt

Operational Context
This role is primarily technical and office-based, focused on supporting enterprise data platforms and analytics capabilities. Occasional participation in operational meetings, project workshops, and business stakeholder engagements may be required.
Benefits Include
If annual hours are attained, these benefits may apply. Medical, Dental, Vision, Prescription, Legal Insurance, Pet Discount, Critical Illness, Accident Insurance, Hospital Indemnity, Long Term Care + Permanent Life Insurance, Identity Theft Protection, Short Term Disability Insurance, Long Term Disability Insurance, Supplemental Disability Insurance, Basic Life Insurance, Accidental Death and Dismemberment Insurance, Supplemental Life Insurance, Supplemental Spouse Life Insurance, Child Life Insurance, Loan Solution, Health Flexible Spending Account, Dependent Flexible Spending Account, Telemedicine, Virtual Primary Care, Prescription Savings Plan, Prescription Specialty Copay Assistance Program, Weight Management Program, Chronic Condition Management, Care Navigator Program, 24/7 Nurse Line, Expert Medical Opinion, Health Advocacy, Employee Assistance Program, Digital Cognitive Behavioral Therapy, Digital Physical Therapy, Behavioral and Mental Health Platforms, Auto and Home Discount Program, Secure Travel Protection, Discount Programs, 401(k) Plan, Education Assistance, Paid Time Off, Referral Program, and Commuter Benefit (NJ only).
Physical & Operational Context
May require physical effort associated with using the computer to access information, or occasional standing, walking, or lifting needed to carry out everyday activities. Effective communication, vision, and hearing are essential for safety and productivity. Operate computers, tablets, scanners, radios, phones, and other essential equipment as required.
Additional work hours may be requested by management to support projects, production issues, or special business initiatives. Work independently and collaborate effectively in a fast-paced environment while managing priorities and meeting productivity expectations.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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