1

Weekend Data Engineer Jobs in Beverly, NJ (NOW HIRING)

DATA ENGINEER I

Camden, NJ · On-site

$90K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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 ...

Data Engineer

Philadelphia, PA · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Data Engineer who will work hands-on and collaboratively with our enterprise and line of business stakeholders to continue the evolution of our enterprise data platform and ...

WHAT YOU'LL DO At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Trenton, NJ · On-site

$114K - $137K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer I

Camden, NJ · On-site

$88K - $117K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Are you passionate about launching your career in data engineering, transforming raw data into reliable pipelines, and learning from seasoned cloud professionals? Do you want to build hands-on ...

AVP, Lead Data Engineer

Philadelphia, PA

$115K - $138K/yr

By joining Chubb as Lead Data Engineer for our North America Finance & Actuarial data platform, you'll set the engineering direction for a portfolio of strategic applications - Atlas, BAR, CDW ...

AVP, Lead Data Engineer

Philadelphia, PA

$109K - $131K/yr

By joining Chubb as Lead Data Engineer for our North America Finance & Actuarial data platform, you'll set the engineering direction for a portfolio of strategic applications - Atlas, BAR, CDW ...

Data Engineer - Manager

Philadelphia, PA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Showing results 21-40

Weekend Data Engineer information

See Beverly, NJ salary details

$43.1K

$125.7K

$172.1K

How much do weekend data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for weekend data engineer in Beverly, NJ is $125,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,300.00 per year, depending on experience, location, and employer.

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 job categories do people searching Weekend Data Engineer jobs in Beverly, NJ look for?

The top searched job categories for Weekend Data Engineer jobs in Beverly, NJ are:

What cities near Beverly, NJ are hiring for Weekend Data Engineer jobs?

Cities near Beverly, NJ with the most Weekend Data Engineer job openings:

Infographic showing various Weekend Data Engineer job openings in Beverly, NJ as of June 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,746 per year, or $60.5 per hour.

$107K - $145K/yr

Contractor

Re-posted 14 days ago


Job description

Overview
We are hiring a Data Engineer to join our Data Technologies team. This team partners with middle-and back-office application teams to design, build, and support next-generation data platforms and pipelines that ingest, process, and transform large-scale data into business-ready datasets. We are looking for an experienced data engineer who is passionate about modern data architectures, distributed data processing, and scalable analytics platforms.
In this role, you will:
  • Design, develop, and support scalable data pipelines and data products for middle- and back-office systems
  • Architect and implement modern data platform solutions
  • Build and optimize large-scale batch and streaming data processing workflows
  • Collaborate with application teams to model, transform, and deliver data solutions that meet business requirements
  • Monitor, troubleshoot, and optimize data processing environments to ensure reliability, scalability, and performance

What we're looking for
  • 5+ years of experience in data engineering, data platforms, or large-scale distributed data processing
  • Strong experience with modern data engineering technologies such as Spark, Databricks, Trino, Iceberg, Snowflake, Parquet, Apache Arrow, Polars, and/or Kafka
  • Strong Python development skills required
  • Experience designing and optimizing high-volume data pipelines and data processing frameworks
  • Experience with query optimization and performance tuning in large-scale analytical environments
  • Experience with on-premises data platforms preferred
  • Industry experience within capital markets or financial services is required
  • Domain knowledge particularly Operations and/or Compliance, is highly preferred
  • Ability and flexibility to provide occasional off-hours/weekend support

#LI-RH1