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

NxT Level

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building ...

NxT Level

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building ...

Jane Street

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 ...

Amalgamated Bank Of Ny

Data Engineer

Manhattan, NY · On-site

$155K - $170K/yr

We are looking for a highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You ...

Courier Health

Data Engineer

New York, NY · On-site

$120K - $150K/yr

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 ...

CYNET SYSTEMS

Data Engineer

Whippany, NJ · On-site

$60 - $65/hr

Experience with Big Data and Streaming technologies including Apache Spark, Kafka, or Kinesis. * Proficiency with DevOps and Automation tools including Git, Jenkins, GitHub Actions, or Azure DevOps. ...

Horizontal Talent

Data Engineer

New York, NY · On-site

$51 - $89/hr

We're looking for a Data Engineer to help build and modernize data pipelines that support analytics, business operations, and AI-driven initiatives. This on-site opportunity in New York offers the ...

Damco Solutions

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 ...

Argyllinfotech

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 ...

Solomon Page

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 ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment ...

MedReview

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Independence Pet Group

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function. Organized around four core pillars-Data Strategy ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

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Showing results 41-60

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

Weekend Data Engineer information

See Newark, NJ salary details

$46.5K

$135.6K

$185.6K

How much do weekend data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for weekend data engineer in Newark, NJ is $135,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $143,800.00 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 Newark, NJ?

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

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

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

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

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

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

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

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Newark, NJ as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,648 per year, or $65.2 per hour.

Data Engineer

Manhattan, NY • On-site

NxT Level
See more jobs at NxT Levelexternal

$125K - $150K/yr

Full-time

Posted 11 days ago

Job description

Data Engineer
Location: New York, NY
Employment Type: Full-time
Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology
About Our Client
Our client is building an AI-powered platform for marketing leaders.
Their technology helps marketing teams focus on brand storytelling while AI agents handle the operationally intensive work behind the scenes, including data management, analytics, campaign generation, measurement, and reporting.
The platform is built on a proprietary consumer graph covering more than 270M U.S. consumers and thousands of through-time attributes. On top of that data foundation, our client has built agentic systems that help brands unify first-party data, standardize messy datasets, train targeting models, improve campaign performance, and give marketing teams meaningful time back.
The company works with leading consumer brands across sports, financial services, hospitality, real estate, estate planning, and other major categories. They have raised $20M from top-tier investors and are building a deeply technical team with experience across data, AI, marketing, finance, research, and consumer technology.
About the Role
Our client is hiring a Data Engineer to design, operate, and scale the pipelines, storage layers, and standardization systems that power their data product and AI platform.
This role is ideal for someone who is strong in analytics engineering, data modeling, Snowflake-powered warehouses, and resilient data infrastructure. You'll help build and scale the data foundation behind a massive people data product while partnering closely with data scientists, AI engineers, and product teams.
This is a high-ownership role for someone who can build reliable pipelines, improve data quality, support large-scale first-party integrations, and help enable AI and agentic access layers on top of structured data.
What You'll Do
  • Own ingestion, data modeling, and transformation for a large-scale consumer data product
  • Build and improve features, attributes, and pipelines across hundreds of millions of individuals
  • Scale first-party data integrations with sales, marketing, and customer systems of record
  • Support and improve a growing multi-terabyte data footprint
  • Partner with data scientists to productionize complex data pipelines and modeling workflows
  • Improve data quality, reliability, standardization, and scalability across the platform
  • Build data infrastructure that supports AI-powered products and agentic workflows
  • Enable AI and agentic access layers, including natural language retrieval APIs and structured data orchestration
  • Work on data products that directly support major enterprise customer opportunities
  • Build with modern data infrastructure including Snowflake, lakehouse architecture on S3, Dagster, dbt, and AWS

What We're Looking For
  • Strong experience in data engineering, analytics engineering, or data infrastructure
  • Experience owning data modeling and transformations in Snowflake or a similar cloud data warehouse
  • Strong SQL skills and comfort working with large, complex datasets
  • Experience building resilient ingestion pipelines and transformation workflows
  • Experience with tools such as dbt, Dagster, Airflow, or similar orchestration platforms
  • Familiarity with AWS data infrastructure, S3-based lakehouse patterns, or similar cloud environments
  • Strong understanding of data quality, standardization, schema design, and pipeline reliability
  • Ability to partner closely with data scientists and product teams
  • Comfort working in a fast-moving startup environment with high ownership
  • Interest in building data systems that power AI products, marketing intelligence, and agentic workflows

Bonus Experience
  • Experience with consumer data, identity graphs, marketing data, or customer data platforms
  • Experience integrating with sales and marketing systems of record
  • Experience building data products for enterprise customers
  • Experience enabling AI, LLM, or agentic access layers on top of structured data
  • Experience with natural language data retrieval, semantic layers, or structured data orchestration
  • Experience working with multi-terabyte datasets or large-scale people data products

Why This Opportunity
  • Build the data infrastructure behind an AI-native marketing intelligence platform
  • Work on a large-scale proprietary consumer graph covering hundreds of millions of U.S. consumers
  • Partner with strong technical teams across data science, AI, product, and engineering
  • Help scale first-party data integrations for leading consumer brands
  • Build data systems that directly unlock major enterprise customer opportunities
  • Work with modern data tools across Snowflake, dbt, Dagster, S3, and AWS
  • Join a venture-backed company with $20M raised and strong commercial momentum

Apply