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Weekend Data Engineer Jobs (NOW HIRING)

Data Engineer

Redstone Arsenal, AL · On-site

$116K - $140K/yr

Overview SOS International LLC (SOSi) is seeking Data Engineers to join our analytics team working ... May require periods of non-traditional working hours including consecutive nights or weekends (if ...

Data Engineer

Redstone Arsenal, AL

$116K - $140K/yr

Overview SOS International LLC (SOSi) is seeking Data Engineers to join our analytics team working ... May require periods of non-traditional working hours including consecutive nights or weekends (if ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months Summary This role involves building and delivering advanced data science and AI/ML solutions in an ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Data Engineer

San Francisco, CA

$134K - $162K/yr

Data Engineer Candidate must be in SFO, CA Long term contract - JD Summary: 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration Hands ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Data Engineer

$117K - $140K/yr

The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing workflows, and integrate diverse data sources to support analytics and reporting needs.

Data Engineer

Chicago, IL

$165K - $175K/yr

Data Engineer Boston, Massachusetts, United States Job Openings Data Engineer Job Title: Data Engineer - AI Platform Location: Boston, Chicago, New York City, San Francisco, Silicon Valley ...

Data Engineer

$117K - $140K/yr

The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing workflows, and integrate diverse data sources to support analytics and reporting needs.

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for ...

Data Engineer

Mercedes, TX

$107K - $129K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer - Hybrid NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking ...

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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 Jun 21, 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 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 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 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.
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 June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 59% Full Time, 34% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

SOSi

Redstone Arsenal, AL • On-site

$116K - $140K/yr

Full-time

Posted 3 days ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
Overview
SOS International LLC (SOSi) is seeking Data Engineers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.
In this role, you will construct data analytical infrastructure, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. You will partner with Data Scientists to refactor manual workflows to produce highly automated MLOPs based workloads. You will perform using scrumban techniques and be embedded with end users.
The team will work with technologies including:
  • Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc.
  • Cloud native techniques and containerization with Docker
  • Infrastructure as Code with Terraform
  • Configuration as Code with OPA
  • Observability with tools like EFK and LOKI + OTel
  • Leverage GitOps patterns and CI/CD with tools like GitLab, Argo, and Harness
  • Perform SAST/DAST security with tools like SonarQube
  • Perform Kubernetes and K3s orchestration with tools like Rancher and Konvoy

SOSi is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you!
Essential Job Duties
  • Build and maintain data pipelines, ETL processes, and storage systems
  • Develop services and extend infrastructure to enable machine learning workflows
  • Integrate software components into functional data systems
  • Write clean, testable, maintainable code in Python and other languages
  • Implement CI/CD pipelines and DevSecOps best practices
  • Create technical documentation for software systems
  • Collaborate across teams to share knowledge and leading practices

Qualifications
Minimum Requirements
  • Top Secret Security Clearance
  • Experience in data engineering and/or software development
  • Expertise with Python, GIT, YAML, Docker, and SQL
  • Knowledge of CI/CD, DevSecOps, and Agile methodologies
  • Experience developing back-end systems and services
  • Understanding of software design and system integration

Preferred Qualifications
  • Top Secret Security Clearance with SCI eligibility
  • Experience as a Site Reliability Engineer (SRE)
  • Experience with AIOps and FinOps
  • Experience with Petabyte scale data sets
  • Experience with large-scale, multi-INT analytics
  • BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field.

Additional Information
Work Environment
  • Working conditions are normal for an office environment.
  • Fast paced, deadline-oriented environment.
  • May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.