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Weekend Data Engineer Jobs in Fort Lee, NJ (NOW HIRING)

Data Engineer Location: Jersey City, NJ (Hybrid) Duration: 12+ Months In-person interview needed Must have: Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT | Data Warehousing | Data ...

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Applies in-depth knowledge of data engineering principles, SQL development, and quality engineering (QE) fundamentals to improve data processes, workflows, and system reliability. * Applies strong ...

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

$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 · 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

New York, NY · On-site

$105K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Totowa, NJ · On-site

$116K - $139K/yr

Identifies opportunities to automate data engineering processes and executes with direction of peers and management. * Maintains and improves the quality of data for all systems. * Ensures data ...

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 · 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

Manhattan, NY · On-site

$126K - $151K/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

$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 ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... data engineers, data scientists, analysts, and cross-functional teams to deliver data products. · Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS ...

New

Data Engineer

New York, NY · On-site

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Irvington, NY · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

WHAT YOU'LL DO As a Data Engineer , you will play a hands-on role in building, modernizing, and maintaining the data infrastructure that powers Attention Arc's media and analytics ecosystem. This ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

We are partnering with a highly successful and growing investment management firm seeking a Senior Data Engineer to help transform and modernize its enterprise data platform. This is a unique ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Damco Solutions is seeking a Data Engineer to join their team. The primary responsibility of this role is to deliver high-performing data solutions, including data warehouses and data marts, while ...

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

$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 ...

Showing results 41-60

Weekend Data Engineer information

See Fort Lee, NJ salary details

$46.4K

$135.4K

$185.3K

How much do weekend data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for weekend data engineer in Fort Lee, NJ is $135,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,500.00 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 Fort Lee, NJ?

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

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

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

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

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

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

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

Infographic showing various Weekend Data Engineer job openings in Fort Lee, NJ as of August 2026, with employment types broken down into 86% Full Time, 2% Part Time, and 12% Contract. Highlights an 69% In-person, 8% Hybrid, and 23% Remote job distribution, with an average salary of $135,388 per year, or $65.1 per hour.

$60/hr

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Re-posted yesterday


Job description

Role: Data Engineer

Location: Jersey City, NJ (Hybrid)

Duration: 12+ Months

 In-person interview needed

Must have: Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT | Data Warehousing | Data Modeling | Snowpark | AI/GenAI | Data Governance

 

Summary:
We are seeking a skilled Data Engineer to design, develop, and support modern data platforms and pipelines that power analytics, reporting, and AI-driven solutions. The ideal candidate will have strong expertise in Snowflake, Python, SQL, AWS, Oracle, and Apache Airflow, with exposure to AI/Generative AI technologies.

Responsibilities:

  • Design, build, and maintain scalable ETL/ELT data pipelines using Python and SQL.
  • Develop and optimize data solutions in Snowflake, including data modeling, performance tuning, and automation.
  • Integrate and transform data from Oracle, APIs, AWS services, and other enterprise systems.
  • Build and manage workflow orchestration using Apache Airflow.
  • Develop cloud-native data solutions utilizing AWS services such as S3, Glue, Lambda, and ECS/EKS.
  • Ensure data quality, reliability, security, and governance across the data platform.
  • Support AI and analytics initiatives by preparing datasets and building pipelines for ML and Generative AI use cases.
  • Collaborate closely with architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions.

 

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • 5+ years of experience in Data Engineering or Data Platform development.
  • Strong hands-on expertise in:
    • Snowflake
    • SQL (Advanced)
    • Python (Advanced)
    • AWS
    • Oracle
    • Apache Airflow
  • Experience designing and supporting enterprise-scale data pipelines and data warehouses.
  • Strong understanding of data modeling, performance optimization, and cloud-based data architectures.
  • Excellent analytical, problem-solving, and communication skills.

 

Preferred Qualifications

  • Experience with Snowpark, Streams, Tasks, and Dynamic Tables.
  • Exposure to AI/ML, Generative AI, RAG architectures, or vector databases.
  • Experience with Spark, Kafka, or Databricks.
  • SnowPro and/or AWS certifications.
  • Experience in financial services or capital markets environments.
In compliance with the salary transparency law, the expected pay range for this role is $60/hr. Actual compensation depends on experience and interview evaluation.