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Weekend Data Engineer Jobs (NOW HIRING)

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Data Engineer Duration: 6 months with possible extension Location: Richmond, VA/McLean, VA/Plano,TX client interview In person Description: Role Overview: Client is seeking hands-on Data Engineers to ...

New

Data Engineer

Miami, FL · On-site

$90 - $150/hr

Position Summary Base-2 Solutions is seeking a Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves developing, maintaining, and optimizing data integration ...

New

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX - Onsite Experience: 5+ years of relevant software/data engineering experience Contract Duration: 6 months, with potential extension based on performance ...

Posted today

Data Engineer

Oak Brook, IL · On-site

$107 - $143/hr

Overview The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data ...

New

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking a Data Engineer responsible for building and maintaining data pipelines that process data from CSV files through various transformation stages. The role requires hands ...

Data Engineer

$118K - $148K/yr

As a Data Engineer, you will play a critical role in shaping Gopuff's modern data platform. You'll ... weekend. We're assembling a team of thinkers, dreamers & risk-takers...the kind of people who know ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Our client, a mid-size global investment firm with $75 Billion AUM, is seeking a talented full-time Data Engineer to join their Boston data engineering team where the impact will be immediate and ...

New

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

RIT Solutions, Inc. is seeking a Data Engineer to build and maintain data pipelines for processing data from CSV files through various transformation stages. The role involves developing ETL ...

Data Engineer

Washington, DC · On-site

$78 - $176/hr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers ...

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data Warehouse team as a tech lead/principal data ...

Data Engineer

North Brunswick, NJ · On-site

$120K - $145K/yr

The role focuses on cloud-native data engineering using Google Cloud Platform, with strong emphasis on BigQuery, data quality, data governance, observability, performance and security by design. As ...

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

Overview The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data ...

Data Engineer

Dallas, TX · On-site

$105K - $120K/yr

Role Summary We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, dbt, Fivetran, SQL, Python, and AWS to support enterprise data modernization initiatives. The ideal ...

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Job Summary The Data Engineer will design, develop, optimize, and maintain scalable data platforms and pipelines supporting enterprise analytics and business intelligence initiatives. The role ...

New

Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

Data Engineer - Implementation / Client-Facing Role We are seeking a Data Engineer with strong implementation experience to support the rollout of a new application within an Azure-based environment.

Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

Data Engineer - Implementation / Client-Facing Role We are seeking a Data Engineer with strong implementation experience to support the rollout of a new application within an Azure-based environment.

Data Engineer

$117K - $140K/yr

Join our growing data team at Green River as a Data Engineer. This role will support projects that matter by designing, building, and maintaining robust data infrastructure and workflows to support ...

Showing results 41-60

Weekend Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do weekend data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.

More about Weekend Data Engineer jobs

What cities are hiring for Weekend Data Engineer jobs?

Cities with the most Weekend Data Engineer job openings:

What are the most commonly searched types of Data Engineer jobs?

The most popular types of Data Engineer jobs are:

What states have the most Weekend Data Engineer jobs?

States with the most job openings for Weekend Data Engineer jobs include:

Infographic showing various Weekend Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$110K - $132K/yr

Other

Posted 2 days ago

New


Job description

Data Engineer

Duration: 6 months with possible extension

Location: Richmond, VA/McLean, VA/Plano,TX

client interview In person

Description:

Role Overview:

Client is seeking hands-on Data Engineers to support Client's AML program, focused on data migration from existing pipelines and building scalable, production-ready data infrastructure.

This is an individual-contributor role requiring the ability to work independently within an established data engineering environment.

Responsibilities:

-Build and maintain data pipelines and orchestration workflows supporting transaction monitoring and case management systems

-Support data migration efforts, leveraging and modernizing existing pipeline architecture, including migration onto Snowflake

-Develop and optimize PySpark-based batch and ETL jobs for large-scale data processing

-Develop and optimize data workflows across cloud data platforms (AWS, Snowflake)

-Partner with AML stakeholders and data engineering leads to define technical requirements

-Document data engineering architecture, standards, and dependencies

Required Skills:

-Python — hands-on experience with both is required (hiring manager is looking for Python, not one or the other)

-SQL — strong hands-on experience required

-AWS — required, hands-on cloud data engineering experience

-PySpark — hands-on experience building and optimizing distributed data processing jobs (batch/ETL pipelines, large-scale transformations) required

-Proven experience building and supporting production data pipelines at scale