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Weekend Data Engineer Jobs in Red Bank, NJ (NOW HIRING)

Data Engineer

Brooklyn, NY · On-site

$120.90K - $145.20K/yr

Data Engineer We are seeking experienced Data Engineers in a contract capacity to join our talented Data Engineering team. In this role, you will contribute to designing and building robust, scalable ...

Data Engineer

Edison, NJ · On-site

$116.10K - $139.40K/yr

Azure Data Engineer With Power BI Power BI Developer with a strong focus on Data Engineering and Reporting solutions to support enterprise data initiatives. This role combines hands-on data ...

Data Engineer

Rahway, NJ · On-site

$116.20K - $139.60K/yr

Data Engineer Mandatory skills: SQL/Python/Data Engineer/AWS Data Engineers who can build scalable, reliable data pipelines and infrastructure, requiring mastery in SQL, Python/Scala, cloud platforms ...

Data Engineer

Jackson, NJ · On-site

$116.50K - $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

Keyport, NJ · On-site

$118.20K - $142K/yr

Data Engineer Location : Union Beach, NJ - 07735 and Wilmington, DE - 19803 Job Overview: We are looking for a skilled Data Engineer with a strong background in AWS technologies to join our data team.

Data Engineer

NJ · On-site

$116.50K - $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

Jackson, NJ · On-site

$116.50K - $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 · On-site

$125.30K - $150.40K/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 platform team and take end-to-end ownership of designing, building, and scaling ...

Data Engineer

New York, NY

$125.30K - $150.40K/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 platform team and take end-to-end ownership of designing, building, and scaling ...

Data Engineer

New York, NY · On-site

$125.30K - $150.40K/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

New York, NY · On-site

$125.30K - $150.40K/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

$70/hr

Role: Data Engineer Location: New York (100% onsite) (Need local to NY) Interview mode: (1 Video interview and Client will be in person) Rate: $70/hr. on C2C Candidates need to have colab set up ...

Data Engineer

New York, NY · On-site +1

$125.30K - $150.40K/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

$125.30K - $150.40K/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

$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

New York, NY · Remote

$90 - $125/hr

Data Engineering Expert Type: Contract Compensation: $90-$125/hour Location: Remote Role Responsibilities * Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance ...

Data Engineer

New York, NY · On-site

$125.30K - $150.40K/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

New York, NY · On-site

$125.30K - $150.40K/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

Brooklyn, NY · Remote

$130K - $200K/yr

Data Engineer Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they ...

Data Engineer

New York, NY · On-site

$125.30K - $150.40K/yr

Data Engineer $100k - $140k Who We Are. Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass. Grass is a network sharing ...

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Weekend Data Engineer information

See Red Bank, NJ salary details

$45.7K

$133.1K

$182.2K

How much do weekend data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for weekend data engineer in Red Bank, NJ is $133,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $141,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer, and why are they important?

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 position?

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 Weekend Data Engineers?

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 popular job titles related to Weekend Data Engineer jobs in Red Bank, NJ? For Weekend Data Engineer jobs in Red Bank, NJ, the most frequently searched job titles are:
What cities near Red Bank, NJ are hiring for Weekend Data Engineer jobs? Cities near Red Bank, NJ with the most Weekend Data Engineer job openings:
Infographic showing various Weekend Data Engineer job openings in Red Bank, NJ as of May 2026, with employment types broken down into 1% As Needed, 84% Full Time, 8% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $133,119 per year, or $64 per hour.

$120.90K - $145.20K/yr

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Job description

Data Engineer

We are seeking experienced Data Engineers in a contract capacity to join our talented Data Engineering team. In this role, you will contribute to designing and building robust, scalable data pipelines that ingest and transform over 30TB of data each day. The ideal candidate will work closely with data scientists, analysts, and engineering teams to ensure reliable data processing, high data quality, and efficient data delivery across the organization. This position requires strong expertise in modern data engineering practices, distributed data processing, and large-scale data pipeline development.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines for high-volume data ingestion and transformation.
  • Build and optimize ETL/ELT workflows for processing large datasets efficiently.
  • Work with structured and unstructured data from multiple data sources.
  • Ensure data quality, reliability, and performance of data systems.
  • Collaborate with data scientists, analysts, and engineering teams to support analytics and machine learning workloads.
  • Monitor, troubleshoot, and improve performance of data pipelines and data infrastructure.
  • Implement best practices for data modeling, governance, and security.
  • Document data architecture, workflows, and operational processes.

Required Skills:

  • Strong experience in Data Engineering and large-scale data processing
  • Expertise in SQL and relational databases
  • Experience with Python, Spark, or similar data processing frameworks
  • Experience building ETL/ELT pipelines

Preferred Skills:

  • Experience working with large-scale datasets (10TB+ daily pipelines)
  • Knowledge of workflow orchestration tools such as Airflow or Prefect
  • Experience with modern data warehousing tools like Snowflake or Databricks
  • Familiarity with distributed systems and big data technologies