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Weekend Amazon Data Engineer Jobs in Augusta, GA

Project Controls Manager

Augusta, GA · On-site

$150K - $200K/yr

... one longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec ... We support utilities, developers, and municipalities with EPC services and project development ...

Summarize data and other information collected during testing within appropriate timeframes upon ... Overtime, weekend, and holiday work as needed. EDUCATION AND EXPERIENCE * High School Diploma or ...

Review and analyze plant reliability data (such as "Lost Tons") and develop plans with Operations ... Resource for the Engineering departmental activities for process de-bottle-necking and process ...

Our mission is to deliver innovative, data-driven solutions that support high-performance buildings ... Flexible Work Schedule - Year Round Employment - No Weekends - Monday to Friday Only! * Visit a ...

Our mission is to deliver innovative, data-driven solutions that support high-performance buildings ... Flexible Work Schedule - Year Round Employment - No Weekends - Monday to Friday Only! * Visit a ...

Our mission is to deliver innovative, data-driven solutions that support high-performance buildings ... Flexible Work Schedule - Year Round Employment - No Weekends - Monday to Friday Only! * Visit a ...

Showing results 41-60

Weekend Amazon Data Engineer information

See Augusta, GA salary details

$41.8K

$121.9K

$166.9K

How much do weekend amazon data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for weekend amazon data engineer in Augusta, GA is $121,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $129,200.00 per year, depending on experience, location, and employer.

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What cities near Augusta, GA are hiring for Weekend Amazon Data Engineer jobs? Cities near Augusta, GA with the most Weekend Amazon Data Engineer job openings:

Senior Computer Systems Engineer / Architect

SOSi

Fort Eisenhower, GA

Full-time

Re-posted 20 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

**This position is contingent upon contract award**

SOSi is currently seeking an experienced Senior Computer Systems Engineer / Architect on site in Fort Gordon, GA.

Essential Job Duties

  • Leads and directs large teams with diverse functional and technical disciplines to include enterprise architects, systems engineers, business analysts, and network engineers.
  • Works directly with senior executives of the enterprise to consult, coach, and advise on strategy, business alignment, enterprise architecture, information technology solutions, and the associated impact on the organization and its stakeholders.
  • Coordinates resolution of highly complex problems and tasks, selling new ideas and concepts in support of operational goals and objectives.
  • Provides technical an analytical guidance to enterprise architecture team. Integrates and translates complex concepts into tactical action plans.
  • Directs high-level enterprise architecture analysis, evaluation, design, integration, documentation, and development.
  • Has a deep understanding of DoD business transformation and processes, DoD organizational structure, experience in developing briefings and responses to GAO, OMB, and executives within the department, and coordinated and developed BEA Compliance Guidance criteria and various BEA evolution strategies.
  • Possesses extensive knowledge of the DoDAF, the DoD Net-Centric and Data Strategies, the DoD Information Assurance Guidance, and the DoD Federation Strategy, and has had hands-on experience with the Business Enterprise Architecture and Enterprise Transition Plan, Service Oriented Architecture, and the Business Mission Area Federation Strategy and Roadmap. 
Qualifications

Minimum Requirements

  • In scope DoD Top Secret clearance.
  • MA/MS and 10yrs of experience or BA/BS and 12yrs of experience.
  • Must have engineering level experience to ensure hosted enterprise virtual server environments are properly configured and delivered to administration staff with correct and appropriate storage, redundancy, networking, and virtual hardware specifications (e.g. correctly sized Random Access Memory, number of CPUs, prioritization of failover, etc).
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.