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

Data Engineer

New York, NY · On-site

$180K - $250K/yr

THE ROLE We're hiring a Data Engineer to build and scale Baseten's internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

Data Engineer

Princeton, NJ · On-site

$130K - $160K/yr

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

Data Engineer

New York, NY · On-site

$150K - $200K/yr

Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby location) Mid-Level (5-12 years) Mandatory Skills: * - Data pipeline development * - SQL * - Python ...

Data Engineer

Princeton, NJ · On-site

$130K - $160K/yr

The Data Engineer will be responsible for management and maintenance of our critical database systems (Oracle + PostgreSQL), while designing and implementing robust data integration solutions that ...

This role is ideal for a hands-on engineer with deep expertise in Databricks, modern data engineering practices, and Sales Incentive Compensation (SIC) processes. Candidates with a proven track ...

As a data engineer at Cerity Partners you will play a leading role maintaining the current--and architecting the future--state of our data pipelines, analytics, and reporting. Data is what empowers ...

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the ...

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold ...

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

Need Local as for onsite interview Senior Data Engineer Location: Hybrid 3 days a week onsite Duration: 6 month contract to hire We're looking for a Senior Data Engineer to lead the development of ...

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the ...

Data Engineer

New York, NY · On-site

$140K - $180K/yr

As a data engineer at Cerity Partners you will play a leading role maintaining the current--and architecting the future--state of our data pipelines, analytics, and reporting. Data is what empowers ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We need a Senior Data Engineer who can work across the stack: tighten up our ingestion pipelines, write new ETL pipelines wherever needed, build out monitoring and alerting where we have blind spots ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Write reusable and well-documented data transformations in Databricks. * Monitor pipeline performance and fix issues to meet service goals. * Work with analytics, engineering, and business teams to ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Position We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. Jane Street depends on data from a wide variety of sources to ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Whippany, NJ (Onsite/Hybrid from Day 1) We are seeking a highly motivated Data Engineer to design, develop, and maintain scalable data solutions that support analytics, reporting, and business ...

Showing results 41-60

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.

Data Engineer

Baseten

New York, NY • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We're hiring a Data Engineer to build and scale Baseten's internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making.
You'll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics.
You'll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning.
RESPONSIBILITIES
  • Design and maintain core data models and semantic layers
  • Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks
  • Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana,and other observability tools
  • Define and maintain company-wide metrics across product usage, performance, and customer lifecycle
  • Enable self-service analytics through agents and tools, with well-structured semantic layers and context
  • Ensure data reliability and quality through testing, documentation, and governance

PREFERRED QUALIFICATIONS
  • Understanding of inference metrics such as latency, throughput, token usage, and model performance
  • Experience supporting B2B SaaS and/or consumption-based platforms
  • Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes

BENEFITS
  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).