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

Data Engineer

Edison, NJ · On-site

$88K - $105K/yr

Data Engineer | Metropark, New Jersey Hybrid | $88,000-$105,000 Base + Bonus We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern ...

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

Data Engineer | Metropark, New Jersey Hybrid | $88,000-$105,000 Base + Bonus We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern ...

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

Data Engineer | Metropark, New Jersey Hybrid | $88,000-$105,000 Base + Bonus We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern ...

Data Engineer

North Brunswick, NJ

$120K - $145K/yr

The role focuses on cloud-native data engineering using Google Cloud Platform, with strong emphasis on BigQuery, data quality, data governance, observability, performance and security by design. As ...

Data Engineer

NJ · On-site

$116K - $140K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

Data Engineer

New York, NY

$125K - $150K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

New York, NY · On-site

$115K - $130K/yr

The Role As a Data Engineer at theGuarantors, you will play a vital role in the development, deployment and maintenance of our data infrastructure. You will work within our data engineering team to ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Data Engineer Location: Princeton, NJ, USA Mandatory Skills: Key Skills & Technologies * Programming Languages: Python (primary), SQL * Cloud Platforms: AWS (S3, Glue, Lambda, Redshift, EC2, EMR)

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

Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type: Contract Note: Interview mode: (Final round will be in person Interview at client location) Note:

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and New Jersey :- Required Skills: * Proficiency in data engineering programming languages (preferably ...

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

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

New York, NY · On-site

$125K - $150K/yr

Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) * 2. ...

Data Engineer

New York, NY · On-site

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

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

$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 ...

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Showing results 1-20

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 Sep 2, 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 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 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.

$88K - $105K/yr

Other

Posted 5 days ago


Job description

Data Engineer | Metropark, New Jersey

Hybrid | $88,000–$105,000 Base + Bonus


We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern data pipelines and cloud-based data infrastructure.

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks, Apache Spark, PySpark, and modern lakehouse architecture.


Key Responsibilities

  • Support the development and maintenance of data pipelines across Bronze, Silver, and Gold medallion architecture layers
  • Ingest and organize raw data within the Bronze layer
  • Support data cleansing, deduplication, validation, and schema enforcement within the Silver layer
  • Develop SQL and PySpark transformations based on defined business and technical requirements
  • Assist with data quality, testing, monitoring, and troubleshooting of pipeline jobs
  • Work with structured and semi-structured data within cloud-based data environments
  • Collaborate closely with senior data engineers to learn and apply modern data engineering practices
  • Contribute to scalable and reliable data solutions using version-controlled development practices


Required Qualifications

  • 0–2 years of experience in Data Engineering, Analytics, Computer Science, or a related field; internships and academic projects are considered
  • Foundational knowledge of SQL, including joins, filtering, aggregations, and querying relational data
  • Experience with Python and an understanding of basic object-oriented programming concepts
  • Understanding of core data concepts, including tables, schemas, relational databases, and data structures
  • Familiarity with Git or demonstrated ability to quickly learn version-control practices
  • Strong interest in developing expertise across Databricks, Spark, and cloud technologies
  • Strong analytical, problem-solving, and communication skills


Preferred Qualifications

  • Exposure to Databricks, Apache Spark, or PySpark
  • Understanding of Delta Lake or medallion architecture
  • Experience with Azure, AWS, or GCP
  • Databricks certification
  • Exposure to BI, reporting, or data visualization tools
  • Academic or project experience building data pipelines or working with data transformation workflows


Compensation & Work Arrangement


Salary: $88,000–$105,000 base salary + discretionary bonus


Work Arrangement: Hybrid


This is an excellent opportunity for an early-career professional looking to develop a strong foundation in data engineering, cloud data platforms, Databricks, Spark, and lakehouse architecture while working alongside experienced engineers.


Interested in learning more? Apply directly for additional information.


Data Engineer | Hybrid | Metropark, New Jersey