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Weekend Data Engineer Jobs in Mount Laurel, NJ (NOW HIRING)

Sr. Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

We are seeking a Senior Data Engineer to join our team and help us build the next generation of data tools for our retail and commerce loyalty platform. The ideal candidate will have a passion for ...

AI Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

  • Medical

  • Retirement

  • PTO

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

Senior Data Engineer

Philadelphia, PA

$107K - $145K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Lead Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all ...

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

  • Medical

  • PTO

Work with Product, Engineering, MDM, Data Science, DevOps, Security, and business stakeholders to align data solutions to enterprise priorities. * Modern ELT execution: Use dbt or similar ELT tooling ...

Sr Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

  • Medical

  • PTO

Work with Product, Engineering, MDM, Data Science, DevOps, Security, and business stakeholders to align data solutions to enterprise priorities. * Modern ELT execution: Use dbt or similar ELT tooling ...

Sr Data Engineer

Philadelphia, PA

$115K - $138K/yr

  • Medical

  • PTO

Work with Product, Engineering, MDM, Data Science, DevOps, Security, and business stakeholders to align data solutions to enterprise priorities. * Modern ELT execution: Use dbt or similar ELT tooling ...

Senior Data Engineer

Camden, NJ · On-site

$104K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join our innovative Data & Analytics team as a Senior Data Engineer , where you'll play a pivotal role in refactoring, optimizing, and scaling our core enterprise data platform. You'll build robust ...

Sr Data Engineer

Philadelphia, PA

$115K - $138K/yr

  • Medical

  • PTO

Work with Product, Engineering, MDM, Data Science, DevOps, Security, and business stakeholders to align data solutions to enterprise priorities. * Modern ELT execution: Use dbt or similar ELT tooling ...

Sr. Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will collaborate with IT teams, business units, and senior management to drive change and foster a data-driven culture. They will provide expert guidance, informed research ...

Senior Data Engineer

Burlington, NJ · On-site

$100K - $110K/yr

Data Engineer Location: Burlington NJ 08016 (Hybrid) Position Overview Come join our growing team of data practitioners and be on the leading edge of Client's digital transformation. Client is ...

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking an experienced and driven Senior Data Engineer - Enterprise Data Products within the Global Data & Analytics team. You are passionate about building scalable, reliable, and AI-ready ...

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking an experienced and driven Senior Data Engineer - Enterprise Data Products within the Global Data & Analytics team. You are passionate about building scalable, reliable, and AI-ready ...

Showing results 41-60

Weekend Data Engineer information

See Mount Laurel, NJ salary details

$44.1K

$128.5K

$175.8K

How much do weekend data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for weekend data engineer in Mount Laurel, NJ is $128,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,200.00 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 are the most commonly searched types of Data Engineer jobs in Mount Laurel, NJ?

The most popular types of Data Engineer jobs in Mount Laurel, NJ are:

What are popular job titles related to Weekend Data Engineer jobs in Mount Laurel, NJ?

For Weekend Data Engineer jobs in Mount Laurel, NJ, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Mount Laurel, NJ look for?

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

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

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

Infographic showing various Weekend Data Engineer job openings in Mount Laurel, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,461 per year, or $61.8 per hour.

Data Engineer - Databricks, AWS, Python

Computer Enterprises, Inc.

Philadelphia, PA • On-site

$115K - $138K/yr

Other

Posted 20 days ago


Job description

Data Engineer – Databricks, AWS, Python
100% Remote / MUST interview on-site: Phila., PA  19103
$125,000 - $135,000/yrRole OverviewWe are seeking a Data Engineer to support the development, modernization, and delivery of data engineering assets, and the Yield Looker-to-Tableau migration, and Supply/Yield Data Engineering initiatives through the remainder of 2026. This role will focus on building reliable ETL pipelines, enhancing legacy jobs, supporting migration work, and delivering core data assets that feed analytics and reporting in Tableau Cloud.Key Responsibilities
  • Develop, test, and maintain ETL and data engineering jobs that bring data into Databricks and support downstream analytics and reporting.
  • Work with business and technical stakeholders to understand requirements and translate them into scalable, production-ready data pipelines.
  • Build and maintain pipelines across AWS, Databricks, and Snowflake environments.
  • Enhance existing legacy data engineering jobs as part of broader modernization and migration efforts.
  • Create and maintain technical documentation, technical specifications, test plans, and operational support materials.
  • Perform testing and quality assurance to validate data accuracy, pipeline reliability, and readiness for production deployment.
  • Use Terraform to provision, configure, and manage cloud infrastructure supporting data engineering workloads.
  • Set up and maintain CI/CD pipelines using Concourse, GitHub Actions, or similar tooling to enable smooth, repeatable deployments.
  • Troubleshoot pipeline issues, resolve defects quickly, and help ensure data jobs run reliably within expected service levels.
  • Provide post-delivery support, including issue investigation, defect resolution, and operational handoff.
  • Identify and mitigate risks, including single points of failure, reliability gaps, and operational dependencies.
  • Collaborate with engineers, analysts, and reporting teams to share knowledge, strengthen best practices, and improve delivery quality.
Project ScopeThe Data Engineer will augment capacity on the Supply/Yield Data Engineering team and support priority work related to INVENTORY ART, including migration activities and the development of core data pipelines and assets. These assets will support analytics and reporting used by Steve S.’s teams in Tableau Cloud. The role will also provide additional support for the Yield Looker-to-Tableau migration and related modernization efforts.Required Skills and Experience
  • Hands-on experience developing ETL, ELT, or data engineering pipelines in production environments.
  • Strong experience with Databricks, Spark-based processing, and modern data pipeline development.
  • Experience working with AWS cloud services and Snowflake data platforms.
  • Proficiency with infrastructure-as-code practices, preferably Terraform.
  • Experience implementing CI/CD practices using Concourse, GitHub Actions, or comparable deployment automation tools.
  • Ability to write clear technical specifications, documentation, and support materials.
  • Strong testing, quality assurance, troubleshooting, and operational support skills.
  • Ability to work collaboratively with cross-functional teams and translate requirements into working technical solutions.
Preferred Qualifications
  • Experience supporting analytics or BI migrations, especially from Looker to Tableau.
  • Experience developing data assets for Tableau Cloud reporting and analytics use cases.
  • Familiarity with supply, yield, inventory, or advertising-related data domains.
  • Experience modernizing or enhancing legacy data engineering jobs.
  • Strong understanding of operational reliability, risk mitigation, and single-point-of-failure reduction.

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