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

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Data Engineer location : Princeton, NJ Minimum Mandatory Skills: ADF, Data Bricks Desired Skills: Python, PySpark Key Responsibilities: * Design and implement ETL/ELT pipelines using Azure Data ...

Data Engineer

Bedminster, NJ · On-site

$116K - $140K/yr

Data Engineer Responsibilities * Develop and maintain scripts and tools using Python, PowerShell, and R. * Design, write, and optimize SQL queries for performance and scalability. * Help modernize ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building ...

New

Data Engineer

Manhattan, NY · On-site

$155K - $170K/yr

We are looking for a highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building ...

New

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Damco Solutions is seeking a Data Engineer to join their team. The primary responsibility of this role is to deliver high-performing data solutions, including data warehouses and data marts, while ...

Data Engineer

New York, NY · On-site

$120K - $150K/yr

About the Team You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building ...

New

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function. Organized around four core pillars-Data Strategy ...

Data Engineer

Manhattan, NY

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is required Client: Mizuho bank Visa: ANY Looking for skilled Data engineer with comprehensive experience ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Data Engineer

Manhattan, NY

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment ...

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

Showing results 41-60

Weekend Data Engineer information

See Piscataway, NJ salary details

$45.3K

$132.2K

$180.9K

How much do weekend data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data engineer in Piscataway, NJ is $132,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,100.00 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 Piscataway, NJ?

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

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

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

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

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

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

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

Infographic showing various Weekend Data Engineer job openings in Piscataway, NJ as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,167 per year, or $63.5 per hour.

Data Engineer

Noblesoft Technologies

Princeton, NJ • On-site

$120K - $144K/yr

Contractor

Re-posted 20 days ago


Job description

Job Title: Data Engineer
location : Princeton, NJ
 
Minimum Mandatory Skills: ADF, Data Bricks
Desired Skills: Python, PySpark
 
Key Responsibilities:
  • Design and implement ETL/ELT pipelines using Azure Data Factory.
  • Develop and optimize data processing workflows in Azure Databricks using PySpark.
  • Integrate data from multiple sources into a unified data platform.
  • Ensure data quality, security and compliance across all processes.
  • Collaborate with data architects, analysts and business teams to deliver reliable data solutions.
  • Monitor and troubleshoot data pipelines for performance and reliability.
  • Implement best practices for data governancemetadata management and data lineage.
Required Skills & Qualifications:
  • 6–8 years of experience in data engineering and data platform development.
  • Strong hands-on experience with Azure Data FactoryAzure Databricks and PySpark.
  • Proficiency in SQL and working with relational databases.
  • Experience with data modelingdata warehousing and big data processing.
  • Familiarity with Azure ecosystem (Data Lake, Synapse, Key Vault, etc.).
  • Strong problem-solving and debugging skills