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Weekend Amazon Data Engineer Jobs in Tucson, AZ (NOW HIRING)

The L1(Entry Level)Engineer-General Maintenance is responsible for skilled maintenance and repair ... Physical Demands: ï‚· Long hours sometimes required, including nights and weekends. ï‚· Heavy Work ...

Senior SOC Analyst - Weekends

Tucson, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data systems, while providing top-notch technical support to employees. By joining the Internal WWT ... Engineer, test, and deploy new detection logic, alerting mechanisms, behavioral analytics, and ATT ...

Biomedical Technician II - FT

Tucson, AZ · On-site

$23.50 - $31/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must be willing to alternate weekends and holidays. We know it's not just about finding a job. It ... Supports the Clinical Engineering Supervisor in project scheduling, cost estimation, and design of ...

Manufacturing Technician

Tucson, AZ · On-site

$24 - $30/hr

  • Medical

  • Dental

  • Retirement

Record production data, logs, reports and maintain accurate documentation * Work with engineers and ... May involve shift work, overtime or weekend work * Able to perform in a manufacturing, production ...

Quality Inspector

Tucson, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Weprovide comprehensive critical operational, engineering and customer support solutions including ... Researchaircraftdrawings and technical data (i.e., REO, EINO, EO,EA) * Perform walk around ...

Showing results 41-60

Weekend Amazon Data Engineer information

See Tucson, AZ salary details

$42.1K

$122.6K

$167.8K

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

As of Aug 19, 2026, the average yearly pay for weekend amazon data engineer in Tucson, AZ is $122,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $130,000.00 per year, depending on experience, location, and employer.

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 are the most commonly searched types of Amazon Data Engineer jobs in Tucson, AZ?

The most popular types of Amazon Data Engineer jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Weekend Amazon Data Engineer jobs?

Cities near Tucson, AZ with the most Weekend Amazon Data Engineer job openings:

Part-time

Posted 25 days ago


Job description

Scope of Position:
The L1(Entry Level)Engineer-General Maintenance is responsible for skilled maintenance and repair duties for the property, including but not limited to HVAC, electrical and plumbing tasks, and preventive maintenance projects.

Position Responsibilities and Qualifications:
Education & Experience:
High School diploma or trade school certification is preferred, and/or equivalent work experience.
Certification preferred: Senior manager and/or other certification as required by franchise.
Have valid driver’s license from appropriate state and MVR in good standing.
General knowledge of machines and maintenance and repair using basic hand and power tools preferred.

Physical Demands:
Long hours sometimes required, including nights and weekends.
Heavy Work - Exerting up to 100 pounds of force occasionally, and /or 50 pounds of force frequently or 
constantly to lift, carry, push, pull or otherwise move objects.
Ability to stand for long hours at a time and work in confined areas as necessary.
Ability to move quickly to various areas of the entire property.

Required Competencies:
Must be able to convey information and ideas clearly, both oral and written.
Must work well in stressful, high-pressure situations.
Must be able to evaluate and select among alternative courses of action quickly and accurately.
Must be effective in handling problems in the workplace, including anticipating, preventing, identifying and solving problems as necessary.
Must be effective at listening to, understanding and clarifying concerns and issues raised by team members and guests.
Must have the ability to assimilate complex information, data, etc. from disparate sources and consider adjust or modify to meet the constraints of a particular need.
Must be able to prioritize departmental functions to meet due dates and deadlines.
Must be able to work with and understand financial information and data, and basic arithmetic function.