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Seasonal Amazon Problem Solver Jobs in Houston, TX

PREFERRED QUALIFICATIONS - A resilient, focused problem solver and self-starter, with the ability ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Domestic Housekeeper

Houston, TX · On-site

$30 - $35/hr

The ideal candidate is a thoughtful problem-solver with excellent judgment who brings a calm, can ... Track seasonal and specialty cleaning needs (ceiling fans, chandeliers, etc.) * Execute a rotating ...

Seasonal Operations Associate We are seeking a motivated and creative Seasonal Operations Associate ... Natural problem-solver who contributes to a collaborative work environment that encourages creative ...

A proactive problem-solver with a positive attitude, able to handle situations with professionalism. * Flexible availability, including weekends, evenings, and holidays, ready to bring joy to our ...

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Seasonal Amazon Problem Solver information

See Houston, TX salary details

$8

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How much do seasonal amazon problem solver jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for seasonal amazon problem solver in Houston, TX is $15.15, according to ZipRecruiter salary data. Most workers in this role earn between $12.84 and $16.54 per hour, depending on experience, location, and employer.

What is the difference between Seasonal Amazon Problem Solver vs Amazon Customer Service Associate?

AspectSeasonal Amazon Problem SolverAmazon Customer Service Associate
CredentialsHigh school diploma or equivalent; problem-solving skillsHigh school diploma or equivalent; customer service skills
Work EnvironmentWarehouse, fulfillment centers, or remoteCall centers, remote or on-site customer support
Employer & IndustryAmazon, retail logisticsAmazon, retail customer service
Search & Comparison IntentFocus on problem resolution during peak seasonsFocus on assisting customers with inquiries and issues

The Seasonal Amazon Problem Solver primarily handles complex issues and problem resolution during busy seasons, often in fulfillment centers or remotely. In contrast, the Amazon Customer Service Associate focuses on assisting customers with inquiries, order issues, and support tasks year-round. Both roles require strong communication skills, but the Problem Solver emphasizes troubleshooting and quick resolution during seasonal peaks.

How to become a seasonal Amazon problem solver?

To become a seasonal Amazon problem solver, applicants typically need to apply through Amazon's careers website, meet minimum age and work authorization requirements, and pass a background check. Strong problem-solving skills, the ability to work in a fast-paced environment, and familiarity with warehouse or logistics operations are beneficial. The role often involves working flexible hours during peak seasons such as holidays or sales events.

What are the most commonly searched types of Amazon Problem Solver jobs in Houston, TX?

The most popular types of Amazon Problem Solver jobs in Houston, TX are:

What are popular job titles related to Seasonal Amazon Problem Solver jobs in Houston, TX?

For Seasonal Amazon Problem Solver jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Seasonal Amazon Problem Solver jobs in Houston, TX look for?

The top searched job categories for Seasonal Amazon Problem Solver jobs in Houston, TX are:

Python Developer - Contract $45-55 Per Hour - NO C2C

Icon Information Consultants

Houston, TX • On-site

$45 - $55/hr

Contractor

Re-posted 12 days ago


Job description

Company Description
A global energy services company.
Job Description
Within our Texas mass markets retail business, which includes Reliant Energy, we aim to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analyses, and optimization. We are looking for a talented software developer to develop Python packages to streamline our analytics work; enable common, scalable analytical computing environments on demand; and deploy our reports and predictive models into production. This position is part Software Engineer, part DevOps Engineer, and part Data Engineer. If you like variety and starting projects from scratch, this is the job for you!
Responsibilities:
Essential Duties/Responsibilities:
- Develop custom Python packages to help our analysts connect to various data sources; provide convenient methods of joining and transforming data in ways common to our workflow
- Prepare a common analytics environment that analysts can deploy on demand via internal cloud or Amazon Web Services, and access via Jupyter Notebooks
- Mentoring code development best practices.
- Automate data pipelines
- Deploy predictive models and reports into production
- Manage Git Repositories
Qualifications
Education:
Degree (BS, MS, or PhD) in Computer Science, Electrical and Computer Engineering, Software Engineering, or Information Systems preferred; any STEM BS, MS or PhD with appropriate work experience will be considered.
Experience:
- 0-5 years of professional Python software design and development
- Experience with Amazon Web Services a plus
- Experience with administering an open source database such as PostgreSQL or MySQL a plus
- Experience with Hadoop/Spark a plus
- Linux administration experience a plus
Technical Skills:
- Expert-level Python programming
- Test-driven development
- Monitoring systems and data pipelines
- Proficient with the following Python packages: SQLAlchemy, flask, pandas, sphinx, and pytest
- Linux server administration
- Git
- SQL
- Continuous Integration Deployment (Gitlab-ci, Ansible, Jenkins, or equivalent)
- Containerized Environments (Docker, LXC)
Additional Knowledge, Skills and Abilities:
- Ability to design Python software from scratch
- Desire to automate everything
- Good communication skills
- Independent and self-driven worker
- Creative problem solver
Additional Information
All your information will be kept confidential according to EEO guidelines.