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Weekend Data Engineer Jobs in Princeton, 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, 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

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

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

$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

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual ...

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual ...

Data Engineer

New York, NY · On-site

$165K - $205K/yr

As an early Data Engineer, you'll play a key role in designing, building, and supporting the next generation of our data infrastructure. This is an opportunity to get in at the ground floor of ...

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 ...

New

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As our first Data Engineer , you will help us get there. This is an early, high-scope role reporting to our VP of Product. You'll own data reliability across the company: clean tables, documented ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll ...

Data Engineer

Piscataway, NJ · On-site

$76K - $121K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

Data Engineer

Piscataway, NJ · On-site

$76K - $121K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

Data Engineer

Piscataway, NJ · On-site

$76K - $107K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

Data Engineer

Piscataway, NJ · On-site

$76K - $107K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

About the role We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis's AI agents, including owning critical client integrations. You ...

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 ...

DataBricks Data Engineer

New York, NY · On-site

$125K - $150K/yr

Databricks Data Engineer Our client is seeking a skilled and experienced Databricks Data Engineer to join our team. As a Databricks Data Engineer, you will be responsible for designing, developing ...

Data Engineer

Princeton, NJ · On-site

$100K - $120K/yr

Data Engineer CURE Auto Insurance is a leading direct writer of auto insurance in New Jersey, Pennsylvania, and Michigan. CURE offers a great working environment, competitive salary, and ...

Showing results 21-40

Weekend Data Engineer information

See Princeton, NJ salary details

$46.6K

$136K

$186.1K

How much do weekend data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for weekend data engineer in Princeton, NJ is $135,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $144,100.00 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 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 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 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 most commonly searched types of Data Engineer jobs in Princeton, NJ? The most popular types of Data Engineer jobs in Princeton, NJ are:
What are popular job titles related to Weekend Data Engineer jobs in Princeton, NJ? For Weekend Data Engineer jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Princeton, NJ look for? The top searched job categories for Weekend Data Engineer jobs in Princeton, NJ are:
What cities near Princeton, NJ are hiring for Weekend Data Engineer jobs? Cities near Princeton, NJ with the most Weekend Data Engineer job openings:
Infographic showing various Weekend Data Engineer job openings in Princeton, NJ as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $135,977 per year, or $65.4 per hour.

Data Engineer

Noblesoft Technologies

Princeton, NJ • On-site

$120K - $144K/yr

Contractor

Re-posted 22 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