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Overnight Python Coding Jobs in Atlanta, GA (NOW HIRING)

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

... Python development skills and modern software engineering practices. * AI Delivery: Proven ... Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in ...

Online Sr Data Engineer (SEO) - Onsite

Atlanta, GA · On-site

$108K - $130K/yr

Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ... Ability to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sources

Online Senior Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ... Ability to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sources

Sr. Data Analyst, Supplier Performance

Atlanta, GA · On-site

$81K - $103K/yr

Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ... Proficiency in findings insights using SQL (or Python) against large datasets * Expertise in ...

Sr. Data Analyst - Supply Chain

Atlanta, GA · On-site

$81K - $103K/yr

... code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Sr. Data Analyst - BI Transportation

Atlanta, GA · On-site

$81K - $103K/yr

... code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Sr Data Analyst, Data Science Analytics

Atlanta, GA · On-site

$81K - $103K/yr

... code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Sr. Data Analyst - Supply Chain

Atlanta, GA · On-site

$81K - $103K/yr

... code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Data Scientists are also responsible for ensuring that developed code is documented and maintained ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ... Proficient in a modern scripting language (preferably Python) * Proficient running queries against ...

Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ... Proficient in a modern scripting language (preferably Python) * Proficient running queries against ...

Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ... Must be proficient in a modern scripting language (preferably Python); Must be proficient running ...

Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ... Experience in a modern scripting language (preferably Python); proficient running queries against ...

Overnight Python Coding information

See Atlanta, GA salary details

$12

$56

$82

How much do overnight python coding jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for overnight python coding in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is overnight Python coding?

Overnight Python Coding jobs involve programming tasks that are performed during nighttime or late evening hours using the Python programming language. These roles are common in companies that require 24/7 software support, urgent bug fixes, or real-time data processing. Overnight coders may work on maintaining backend systems, automating tasks, or monitoring critical applications for issues. This schedule can suit individuals who prefer flexible hours or need to accommodate other daytime responsibilities. Experience with Python and the ability to troubleshoot independently are essential for success in these positions.

What skills and qualifications are needed to thrive as an overnight Python coder?

To thrive as an Overnight Python Coder, you need strong proficiency in Python programming, debugging, and problem-solving, typically supported by experience in software development or a related degree. Familiarity with version control systems like Git, development environments such as PyCharm or VS Code, and potentially cloud platforms or task schedulers is common. Excellent time management, independent work ethic, and clear written communication are valuable soft skills for success in overnight roles. These skills ensure the ability to efficiently deliver quality code, maintain project continuity, and support teams operating across time zones.

What are common challenges faced by overnight Python coders, and how can they manage their workload?

Overnight Python developers often face unique challenges such as limited real-time collaboration with daytime teams and managing alertness during late hours. To succeed, it's important to establish clear communication channels with colleagues, document work thoroughly, and utilize task management tools to prioritize deliverables. Additionally, maintaining a consistent sleep schedule and taking scheduled breaks can help sustain productivity and focus throughout the shift. Many teams also provide support through shift overlap meetings or handoff documentation to ensure smooth workflow across different time zones.

What is the difference between Overnight Python Coding vs Data Analyst?

AspectOvernight Python CodingData Analyst
Required CredentialsPython programming skills, possibly certifications in data science or PythonBachelor's in statistics, data analysis, or related field; certifications like Microsoft Excel or Tableau
Work EnvironmentRemote or on-site, project-based, often during night shifts for global clientsOffice or remote, regular daytime hours, collaborative teams
Employer & Industry UsageTech companies, startups, data-driven firms requiring Python automation or scriptingBusiness, finance, marketing, healthcare sectors analyzing data for insights

Overnight Python Coding focuses on scripting and automation tasks during night shifts, often requiring strong Python skills. Data Analysts interpret data to inform business decisions during regular hours. While both roles involve working with data, Python coders emphasize programming, whereas Data Analysts focus on analysis and reporting.

Are overnight Python coders in demand?

Overnight Python coders are in demand due to the need for 24/7 software support, automation, and data processing. Skills in Python, along with experience in scripting and problem-solving, can increase job opportunities in roles that require flexible or non-traditional hours.

What are the most commonly searched types of Python Coding jobs in Atlanta, GA?

The most popular types of Python Coding jobs in Atlanta, GA are:

What are popular job titles related to Overnight Python Coding jobs in Atlanta, GA?

For Overnight Python Coding jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Overnight Python Coding jobs in Atlanta, GA look for?

The top searched job categories for Overnight Python Coding jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Overnight Python Coding jobs?

Cities near Atlanta, GA with the most Overnight Python Coding job openings:

Senior AI Engineer (Remote)

Home Depot

Atlanta, GA • On-site, Remote

$99K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,434 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that drive measurable business outcomes across The Home Depot. Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products.
This role involves developing scalable applications powered by LLMs, SLMs, Retrieval-Augmented Generation (RAG) frameworks, and autonomous agents. You will build the core orchestration layers for multi-agent workflows, tool integration, and planning, alongside the infrastructure required for reliable, large-scale cloud deployment. By partnering with product, engineering, and business teams, you will rapidly prototype solutions, navigate ambiguity, and seamlessly transition cutting-edge AI capabilities from concept to production.
Required skills
  • Experience: 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development skills and modern software engineering practices.
  • AI Delivery: Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems.
  • AI Foundations: Deep understanding of AI/ML foundations, including transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases.
  • Orchestration & Integration: Experience developing orchestration layers (task execution, routing, planning, workflows) and seamlessly integrating AI solutions with enterprise platforms, APIs, and business systems.
  • Infrastructure & MLOps: Expertise in cloud-native architectures, containerization (Docker) and orchestration (Kubernetes/GKE), infrastructure as code (e.g., Terraform), andAI pipeline design, with hands-on implementation of MLOps/LLMOps best practices (CI/CD, automated testing, model versioning and registries, governance, compliance, and security) across the full AI/agent lifecycle.
  • AIOps & Deployment Reliability: Experience building automated CI/CD pipelines for AI/agentic systems, implementing progressive rollout strategies (canary, blue-green, and shadow deployments) with automated rollback, and establishing end-to-end observability (logging, metrics, distributed tracing, and automated alerting) across models, agents, and orchestration layers to ensure production reliability, performance, and cost/token efficiency at scale.
  • Optimization & Debugging: Demonstrated ability to optimize complex AI systems for performance, reliability, scalability, latency, cost efficiency, and token use, as well as debugging operational failure modes.
  • Execution & Collaboration: Excellent cross-functional communication and collaboration skills, with a proven ability to take AI solutions from concept to production in complex enterprise environments.

Key Responsibilities:
  • 70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • 10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
  • 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Direct Manager/Direct Reports:
  • This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager
  • This Position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Tools & Frameworks: Hands-on experience with Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, or similar orchestration tools and frameworks.
  • AI Infrastructure & Platform Tooling: Hands-on experience with infrastructure-as-code (e.g., Terraform), Kubernetes/GKE for container orchestration, GPU/accelerator provisioning and autoscaling, model registries, feature stores, and vector database operations at production scale.
  • Full-stack skills: Node.js/React/REST, API design, performance optimization, Linux, Git, modern deployment toolchain.
  • Industry Context: Background in retail, supply chain, manufacturing, eCommerce, logistics, or finance where Applied ML is mature.
  • Guardrails & Reliability: Knowledge and experience in establishing Responsible AI, evaluation frameworks, reliability engineering, and AI governance guardrails.
  • Leadership & Innovation: A proven track record of driving innovation, delivering measurable business impact, mentoring engineering teams, and establishing AI engineering standards and best practices.
  • Master's or bachelor's in computer science, Artificial Intelligence, Machine Learning, or a related technical discipline.

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 2

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Global Perspective
  • Manages Ambiguity
  • Nimble Learning
  • Self-Development
  • Collaborates
  • Cultivates Innovation
  • Situational Adaptability
  • Communicates Effectively
  • Drives Results
  • Interpersonal Savvy

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $100,000.00 - $250,000.00

What Home Depot employees say

Pay

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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