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

FanDuel

Data Engineer

New York, NY · On-site

$125K - $150K/yr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power ...

New

Baseten

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 ...

Theradex Oncology

Data Engineer

Princeton, NJ · On-site

$130 - $160/hr

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 ...

Forhyre

Data Engineer

New York, NY

$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 ...

Theradex Oncology

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 ...

Theradex Oncology

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 ...

Carlyle

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 ...

Kanak Elite Services Inc

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 ...

Theradex Oncology

Data Engineer

Princeton, NJ

$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 ...

Credit Genie

Data Engineer

New York, NY · On-site

$180K - $210K/yr

As a Senior Data Engineer, you will independently own the design and operation of scalable data pipelines and platform capabilities across our Snowflake and AWS environment. You will solve complex ...

New

Ceritypartners

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 ...

Carlyle

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 ...

Overture Partners

DataBricks Data Engineer

New York, NY · On-site

$65 - $68/hr

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 ...

Bright Mind Solutions LLC

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 ...

C the Signs

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 ...

C the Signs

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 ...

Regard

Data Engineer

New York, NY · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We ...

Bedrock Robotics

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 ...

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All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Somerset, NJ

Weekend Data Engineer information

See Somerset, NJ salary details

$47K

$137.1K

$187.5K

How much do weekend data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend data engineer in Somerset, NJ is $137,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $145,300.00 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 Somerset, NJ?

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

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

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

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

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

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

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

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Somerset, NJ as of June 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,051 per year, or $65.9 per hour.

Data Engineer

FanDuel

New York, NY • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

FanDuel rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies

Job description

THE POSITIONOur roster has an opening with your name on it
We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you'll contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.
The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment.
If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
Build & Maintain Data Pipelines
  • Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
  • Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
  • Ensure data is reliable, accurate, and delivered in a timely manner
  • Deliver solutions supporting ML, DS, Analytics and AI use cases.

Collaborate Across Teams
  • Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions
  • Translate business questions into engineering tasks and contribute to technical planning.
  • Participate in code reviews, sprint planning, and retrospectives as part of an agile team.

Data Quality & Operations
  • Monitor data pipelines and troubleshoot issues in a timely, systematic manner
  • Implement data quality checks and contribute to observability and testing practices
  • Document data sources, transformations, and architecture decisions to support long-term maintainability

THE STATS
What we're looking for in our next teammate
  • 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
  • Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
  • Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
  • Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
  • Experience working with cloud-based data platforms (AWS, GCP, or Azure).
    Preferred Qualifications
    • Experience supporting BI, analytics, or data science teams.
    • Familiarity with version control, CI/CD, and collaborative development workflows.
    • Exposure to data governance, privacy, or compliance practices.
    • Eagerness to learn new technologies and contribute to the growth of the team.

ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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