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

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 ...

Data Engineer

New York, NY

$125K - $150K/yr

As our first Data Engineer , you will help us get there. This is an early, high-scope role reporting to our VP of Product. You'll own data reliability across the company: clean tables, documented ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll ...

About the role We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis's AI agents, including owning critical client integrations. You ...

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 ...

About the role We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis's AI agents, including owning critical client integrations. You ...

DataBricks Data Engineer

New York, NY · On-site

$125K - $150K/yr

Databricks Data Engineer We are seeking a skilled and experienced Databricks Data Engineer to join our team. As a Databricks Data Engineer, you will be responsible for designing, developing, and ...

DataBricks Data Engineer

New York, NY · On-site

$125K - $150K/yr

Databricks Data Engineer Our client is seeking a skilled and experienced Databricks Data Engineer to join our team. As a Databricks Data Engineer, you will be responsible for designing, developing ...

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 ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineer at Cape, your mission is to build the analytics and reporting infrastructure that lets us understand our product and business without compromising the privacy guarantees we make to ...

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 · Remote

$140K - $180K/yr

We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and ...

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

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 ...

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 ...

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 ...

Data Engineer

New York, NY · Remote

$140K - $180K/yr

We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and ...

Data Engineer

New York, NY · On-site +1

$140K - $180K/yr

We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and ...

Showing results 21-40

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 Aug 11, 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 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 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 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 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 most commonly searched types of Data Engineer jobs in Red Bank, NJ? The most popular types of Data Engineer jobs in Red Bank, NJ are:
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 job categories do people searching Weekend Data Engineer jobs in Red Bank, NJ look for? The top searched job categories for Weekend Data Engineer jobs in Red Bank, NJ 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 June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 63% Full Time, 31% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $133,119 per year, or $64 per hour.

Data Engineer

Argyllinfotech

New York, NY • On-site

$125K - $150K/yr

Full-time

Posted 4 days ago


Job description

Job Title: Data Engineer
Work location: New York City, NY (Hybrid, 3 days in a week)
In-person Interview is required
 
Client: Mizuho bank
 
Visa: ANY
 
Job Description:
Looking for skilled Data engineer with comprehensive experience in designing, developing, and maintaining scalable data solutions within the financial and regulatory domains. Proven expertise in leading end-to-end data architectures, integrating diverse data sources, and ensuring data quality and accuracy.
Core Competencies:
  • Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.
  • Strong understanding of relational databases, ETL processes, and data modeling.
  • Expertise in system design, architecture, and implementing robust data pipelines.
  • Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
  • Effective communicator with the ability to collaborate with business analysts, users, and global teams.
Key Responsibilities:
  • Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions.
  • Develop and optimize data models and schemas for efficient data integration and analysis.
  • Lead application development involving Python, Pyspark, SQL, Snowflake, and Databricks platforms.
  • Implement data validation procedures to maintain high data quality standards.
  • Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams.
  • Provide ongoing support, troubleshooting, and maintenance in production environments.
  • Contribute to architecture and design discussions to ensure scalable, maintainable data solutions.
  • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).