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Weekend Python Jobs in Ogden, UT (NOW HIRING)

SwipeClock, LLC

Senior Software Engineer

Salt Lake City, UT · On-site

$118.50K - $156.30K/yr

Proficiency in backend development technologies such as Node.js, Python, Java, or similar. * Familiarity with hardware integration and working with embedded systems is a plus. * Experience with ...

Armaninollp

Data & AI Platform Engineer

Salt Lake City, UT

$110.80K - $133.10K/yr

Basic scripting capability in Python or PowerShell (or willingness to learn quickly). * Strong troubleshooting mindset: can break problems down, gather evidence, and communicate clearly. * Ability to ...

Tagup

Senior Software Engineer

Salt Lake City, UT · On-site

$140K - $180K/yr

Python (FastAPI, SQLAlchemy, Pandas) - We value your software engineering fundamentals and ability to learn over which specific languages you have experience in. * Data: PostgreSQL, Redis. * Infra:

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How much do weekend python jobs pay per hour?

As of May 30, 2026, the average hourly pay for weekend python in Ogden, UT is $57.37, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.14 per hour, depending on experience, location, and employer.

What is a Weekend Python job?

A Weekend Python job is a role that involves working with Python programming primarily on weekends. These positions are often part-time, freelance, or contract-based and may include tasks such as scripting, automation, data analysis, or web development. They are ideal for students, professionals seeking extra income, or those looking to gain more experience with Python while maintaining a weekday job. Companies may hire Weekend Python developers to handle specific tasks, maintain systems, or support ongoing projects outside regular business hours.

What are the key skills and qualifications needed to thrive in the Weekend Python position, and why are they important?

To thrive as a Weekend Python Developer, you need strong proficiency in Python programming, software development principles, and experience with version control systems, typically demonstrated through a relevant degree or coding portfolio. Familiarity with web frameworks (like Django or Flask), databases, and cloud platforms such as AWS or Azure is often required, and certifications in Python or cloud technologies can be advantageous. Excellent time management, problem-solving abilities, and strong communication skills allow effective remote collaboration and independent work over weekends. These competencies enable Weekend Python Developers to efficiently contribute to projects, meet deadlines, and integrate seamlessly with teams despite non-traditional working hours.

What kind of projects and tasks can a Weekend Python Developer expect to work on?

As a Weekend Python Developer, you may be responsible for tasks such as developing and maintaining backend systems, building APIs, automating scripts, or supporting ongoing projects that require weekend coverage. You might also assist in bug fixes, code reviews, database management, or integrating third-party services, depending on your team's priorities. This role often involves remote work and close collaboration with developers, project managers, or DevOps engineers to ensure project milestones are met. Projects can range from web applications and data processing pipelines to automation tools, providing opportunities to build valuable real-world experience and demonstrate reliability in flexible work environments.
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Weekend Python jobs near you
Data Platform Engineer

Data Platform Engineer

Accenture Federal Services

Hill Air Force Base, UT

$105.30K - $126.50K/yr

Other

Posted 20 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 424 rated business services

Job description

Accenture Federal Services is seeking a Data Platform Engineer to join our secure cloud platform team supporting government customers at Hill Air Force Base. This role is execution-focused with strong data platform engineering depth - you will design, build, and operate the streaming and batch data pipelines, lakehouse patterns, and platform services that enable rapid, secure delivery across a complex government program. The ideal candidate brings hands-on GitOps and infrastructure-as-code expertise, is comfortable in classified multi-network environments, and embodies extreme ownership. 

What Success looks like:

  • Data pipelines are reliable, automated, and instrumented with observability and quality gates. 
  • Platform services (Kafka, Airflow, Spark, EMR/Glue/Redshift) are standardized and version-controlled. 
  • Infrastructure is defined as code and operated through GitOps - no snowflake systems. 
  • Security and compliance controls are embedded into pipelines and platform services. 
  • You operate with minimal supervision and proactively close gaps. 

What you'll do:

  • DevOps & Platform Engineering
    • Design, implement, and maintain CI/CD for data pipelines and platform services
    • Build and manage IaC using Terraform, Ansible, and AWS CDK
    • Operate tooling: Crossplane, Backstage, Argo CD
    • Implement GitOps workflows using GitLab/GitHub
    • Manage Kubernetes and Docker for data services
  • Cloud Infrastructure & Operations
    • Design secure, scalable data platform architectures on AWS GovCloud and Azure Government
    • Optimize network architecture for data movement
    • Manage IAM and secrets for pipelines
    • Administer Linux/Windows systems with monitoring and logging
    • Troubleshoot and optimize pipelines (Kafka/Spark tuning, S3/Redshift patterns)
  • Security & Compliance
    • Implement security controls aligned with NIST, FedRAMP, and DISA STIG
    • Embed data governance: classification, lineage, retention, encryption
    • Integrate automated security and policy-as-code checks
    • Support audits, ATO, and compliance assessments
    • Manage encryption, keys, and access in classified networks
  • Collaboration & Continuous Improvement
    • Operate within SAFe Agile ceremonies
    • Mentor peers and drive engineering standards
    • Identify optimization opportunities across platform components
    • Document runbooks and operational procedures

Ideal Technical Background:

  • Kafka, Airflow, Spark; AWS EMR, Glue, Redshift
  • Lake/lakehouse architecture and large-scale data movement
  • GitOps & IaC: Terraform, Ansible, AWS CDK
  • CI/CD: GitLab/GitHub
  • Kubernetes, Docker
  • Crossplane, Backstage, Argo CD preferred
  • Python, Bash, PowerShell; Linux/Windows
  • Strong AWS experience (GovCloud preferred)

What you'll need:

  • 5 years of cloud, infrastructure, or data platform engineering experience
  • 3 years of designing secure data platform architectures
  • Hands-on experience with IaC and DevOps in production
  • Experience in classified environments (ex: NIPR/SIPR/JWICS)
  • Background in data engineering and security hardening

Bonus Points if you have:

  • Bachelor's degree
  • AWS or Azure certifications
  • Security+ or equivalent
  • CKA/CKAD
  • CISSP or advanced security certifications
  • Agile/Scrum certifications
  • Familiarity with accreditation frameworks
  • Data modeling and warehouse design (Redshift or equivalent)
  • Streaming patterns and stateful processing
  • Data catalog and lineage tooling
  • GPU-accelerated data processing (CUDA/cuDNN) as a plus
  • Multi-cloud architecture and advanced networking
  • Configuration management (Ansible/Chef/Puppet)

Clearance:
Must have an active Top Secret level clearance

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