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agentforce & data 360 support engineer Jobs in Atlanta United States

agentforce & data 360 support engineer

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agentforce data 360 support engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Customer Success
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Salesforce Data 360 and Agentforce Support team is comprised of highly skilled technical engineers who have a passion for making customers successful. Our Support Engineers pride themselves in delivering an unparalleled premium customer experience that leaves customers wanting and coming back for more. While our focus is on the customer, we also have fun as a team, and continuously give back to our community through the generous Salesforce 1-1-1 model.
 
 
These roles are located in our Indianapolis, Atlanta and Seattle offices. Candidates should live locally to the area and able to work in an office environment in a hybrid model.
 
 
Your Impact - Responsibilities: In your role as a Agentforce and Data 360 Support Engineer , you are the first point of contact for customers experiencing challenges navigating and implementing Data 360 and Agentforce products. Job responsibilities include but are not limited to:
<ul><li>Developing and maintaining technical expertise in Salesforce Data 360 and Agentforce.
</li><li>Demonstrating exceptional analytical, troubleshooting, and problem-solving expertise.
</li><li>Providing feature explanation and best practices.
</li><li>Managing customer expectations and the customer experience to maximize customer satisfaction.
</li><li>Actively maintaining and participating in job-related training activities.
</li><li>Demonstrating the ability to research, document, and prioritize customer issues, leveraging internal tools and escalation teams as necessary, as well as prioritizing and managing time effectively in a fast-paced environment.
</li><li>Multitasking and performing effectively under pressure.
</li>Creating and curating knowledge content. 
<li>
</li></ul> 
 
Experience/Skills Preferred:
<ul><li>Experience with Salesforce and/or CRM applications and other cloud-based technologies
</li><li>API / programming experience
</li><li>Big data experience
</li><li>Experience with Database concepts, Data management (RDBMS), and SQL
</li><li>Demonstrated skill in Customer Support or Customer Service in a customer-facing role
</li><li>Salesforce Developer, Agentforce, Data 360 Certifications
</li><li>Bilingual Portuguese, French or Spanish language proficiency is a plus!
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $80,900 - $122,300 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Agentforce & Data 360 Support Engineer

The Home Depot

<div>Position Purpose:
The Senior Packaging Engineer position will support growth, quality, and productivity initatives to meet defined business needs. Responsibilities include initiating, planning, executing, and controlling packaging projects to deliver departmental strategic objectives. The senior packaging engineer will also participate in cross-functional teams to support new product introductions. Major tasks in this assignment include development of standard operating procedures, definition of packaging quality protocol, and conducting risk assessments to guide business decisions. As a subject matter expert in packaging, this position will also be required to support daily business transactions to resolve packaging deficiencies. The senior packaging engineer will focused on more complex projects with higher risks and business implications. The senior packaging engineer will report directly to the manager of packaging. 
Key Responsibilities:<ul><li>
Provide packaging support for merchant driven new product introductions.</li><li>
Identify, plan, execute, and control packaging projects to deliver strategic business needs for growth, productivity, and quality.</li><li>
Advise and consult on packaging best practices to enhance business performance. Direct corrective
</li><li>actions with service providers and vendors to resolve packaging issues.
</li><li>Deliver training (internally and externally), tailored to the needs of the specific audience.</li><li>
Develop packaging performance protocol and quality assurance standards.</li></ul> 

Direct Manager/Direct Reports:<ul><li>
Typically reports to Manager or Senior Manager, Packaging Engineer</li><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel 20% to 50% of the time.</li></ul> 

Physical Requirements:<ul><li>
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.</li></ul> 

Working Conditions:<ul><li>
Typically in a comfortable environment but with regular exposure to factors such as temperature extremes, moving machinery, loud noise, and fumes which cause noticeable discomfort or a moderate risk of accident or illness.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
Bachelors degree in packaging engineering</li><li>
Desire advanced certifications (Project Management Professional, 6 Sigma, or
</li><li>Certified Packaging Professional)
</li><li>Operational experience in a manufacturing or engineering environment</li><li>
Computer skills sufficient to retrieve, manipulate, analyze, interpret, and present data</li><li>
Excellent communication skills required. Need to clearly articulate packaging and process concepts to business community through written and oral presentations.</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
4</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Knowledge and experience with packaging physical property test and inspection. - minimum 2 years</li><li>
Experience providing packaging support for consumer new product development - minimum 1 year</li><li>
Engineering standards development / review / enforcement - minimum 2 years</li><li>
Cross functional, multi-project management - min 2 years experience</li></ul></div>

Sr. Packaging Engineer

<div><div>Position Purpose:
The Staff Machine Learning Engineer is responsible for joining cross-functional teams (product, design, Engineering, infrastructure) to build innovative GenAI application experiences and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Staff ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. 
Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. 
Key Responsibilities:<ul><li>
45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; 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</li><li>
15% 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; Attends conferences and learns how to apply new innovations and technologies where appropriate</li><li>
20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses</li><li>
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</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
5 - 7 years of relevant work experience</li><li>
Experience in Python and modern AI development frameworks</li><li>
Experience building Generative AI applications using large language models (LLMs)</li><li>
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques</li><li>
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic</li><li>
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)</li><li>
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases</li><li>
Experience working with vector databases such as google Vertex AI Search</li><li>
Experience with building conversational AI systems, or AI assistants</li><li>
Experience with responsible AI practices including bias mitigation and safety guardrails</li><li>
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.</li><li>
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.</li><li>
Experience with monitoring, evaluation, and optimization of production AI systems</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Experience in training machine learning models with extremely large datasets</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Familiarity with defensive coding practices and patterns for high Availability</li><li>
Familiarity with A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
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.</div> 
Apply End Date: 05/11/2026</div>

Staff Machine Learning Engineer – Generative AI (Remote)

HERMEZ-IT

Position Description: GTA Senior Software Configuration/Release EngineerThis position is responsible for automating and maintaining cloud configuration and infrastructure processes across GTA-AWS environments.ON-SITE INTERVIEWS ONLYHYBRID - IN THE OFFICE 2 DAYS PER WEEK Candidates Must be Permanent Residents. Position available for extensions. The Senior Software Configuration/Release Engineer is responsible for designing, automating, and maintaining cloud configuration, release, and infrastructure management processes across GTA&rsquo;s AWS environments. This role ensures highly available, secure, compliant, and well-governed cloud platforms through effective automation, Infrastructure as Code (IaC), patch management, backup strategy, and certificate governance. The engineer will work closely with DevOps, Security, and Infrastructure teams to support stable, reliable statewide services. Responsibilities Cloud Configuration &amp; Infrastructure Automation Develop, implement, and maintain configuration management processes, policies, and standards for AWS environments. Build, deploy, and enhance Infrastructure as Code (IaC) solutions using Terraform to automate provisioning, configuration, and lifecycle management of AWS resources (e.g., EC2, S3, RDS, IAM, ACM). Manage and optimize multiple environments (Dev, Test, Stage, Prod) ensuring configuration consistency and security. Release Engineering &amp; AWS DevOps Senior Experience supporting automation pipelines using the AWS Code Suite: Code Commit, Code Build, CodeDeploy, and CodePipeline. Work closely with DevOps teams to support release activities, deployments, rollbacks, configuration updates, and environment readiness. Backup, Patching &amp; Compliance Design and maintain automated AWS backup solutions to ensure data integrity, resiliency, and compliance with state retention policies. Implement automated patching workflows for cloud infrastructure to maintain required security and compliance posture. Conduct periodic audits of environment configuration, patch levels, backup integrity, and certificate compliance; recommend and implement improvements. Security &amp; Certificate Management Manage installation, renewal, rotation, and validation of SSL/TLS certificates across AWS services. Ensure secure communication configurations and alignment with state and federal security requirements. Documentation, Governance &amp; Training Maintain detailed, accurate documentation of configuration baselines, IaC standards, module usage, and environment changes. Provide training and guidance to team members on Terraform, AWS infrastructure best practices, backup strategies, patch automation, and certificate management. Core Competencies Strong analytical and troubleshooting skills with a proactive approach to cloud optimization. Ability to break down complex problems, create tactical plans, and contribute to strategic improvements. Attention to detail with strong diagnostic and problem-investigation abilities. Effective verbal and written communication skills. Strong organizational and planning abilities. Self-motivated, collaborative, and able to work in fast-paced environments. Minimum Qualifications Bachelor&rsquo;s degree in computer science, Information Systems, or related field; or equivalent professional training, certification, or experience. Eight (8) years of configuration management experience, including: Proficiency with Terraform and IaC methodologies Hands-on experience with AWS services (EC2, S3, RDS, IAM, ACM) Experience with cloud backup solutions and automated patching Expertise in SSL/TLS certificate management and security best practices Preferred Qualifications Scripting experience (e.g., Python, Bash, PowerShell) for automation within AWS/Terraform. AWS Certification(s) and/or Terraform Certification. Experience working with state or local government environments. Experience with vendor oversight or management. Experience with project management or Agile delivery tools. Experience with organizational change management (OCM).Skills Table: Skill Required / Desired Amount of ExperienceSENIOR EXPERIENCE using the AWS Code Suite: CodeCommit, CodeBuild, CodeDeploy, and CodePipeline Required 7 YearsThe engineer will work closely with DevOps, Security, and Infrastructure teams to support stable, reliable statewide services. Required 7 YearsBuild, deploy, and enhance Infrastructure as Code (IaC) solutions using Terraform to automate provisioning, configuration, and lifecycle management Required 3 YearsDesign and maintain automated AWS Backup, Patching solutions to ensure data integrity, resiliency, and compliance with state retention policies. Required 7 YearsManageinstallation, renewal, rotation, and validation of SSL/TLS certificates across AWS services.Required 7 YearsMaintain detailed, accurate documentation of configuration baselines, IaC standards, module usage, and environment changes. Required 3 YearsProvide training and guidance to team members on Terraform, AWS infrastructure best practices, backup strategies, patch automation, and certificate Required 3 YearsON-SITE INTERVIEWS ONLY RequiredTWO DAYS PER WEEK WORK IN THE OFFICE RequiredWhat is your candidate's email address?If selected for engagement, your candidate will be expected to start no later than 2 weeks (10 business days) after the client's selection date? Do you agree to this requirement?On-Site Interviews Only. Do you and your candidate accept this requirement? Hybrid Work Environment REQUIRES 2 days-per-week On-Site in the office. Do you and your candidate accept this requirement? In what City and State is your candidate located? Candidates MUST be Permanent Residents (US Citizens or Green Card Holders). Do you and your candidate accept this requirement?Pay: $47.00 per hourWork Location: Hybrid remote in Atlanta, GA 30332

Build and Release Engineer

<div><div>Position Purpose:
The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. 
 
Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices. 
Key Responsibilities:<ul><li>
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 &quot;destructive testing&quot; 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</li><li>
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</li><li>
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</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
3 - 5 years of relevant work experience 
Experience in Python and modern AI development frameworks 
Experience building Generative AI applications using large language models (LLMs) 
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques 
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic 
Experience with GenAI frameworks such as Google Agent Development Kit (ADK) 
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases 
Experience working with vector databases such as google Vertex AI Search 
Experience with building conversational AI systems, or AI assistants 
Experience with responsible AI practices including bias mitigation and safety guardrails 
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems. 
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management. 
Experience with monitoring, evaluation, and optimization of production AI systems 
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python) 
Experience with GPU acceleration (i.e. CUDA and cuDNN) 
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3 
Experience in writing SQL queries against a relational database 
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security 
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide 
Familiarity with defensive coding practices and patterns for high Availability 
Familiarity with A/B testing and effective REST design for scalable web services architecture 
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
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.</div> 
Apply End Date: 05/11/2026</div>

Senior Machine Learning Engineer – Generative AI (Remote)

<div><div><div>Position Purpose:</div><div> 
The Senior Data Engineer is an experienced individual contributor responsible for designing, building, and operating scalable data platforms and data products within the Enterprise Data Warehouse (EDW). This includes developing and maintaining core data domains, semantic layers, and enabling downstream analytics consumers. This engineer partners with staff and principal engineers to implement established architectural patterns, contribute to platform modernization efforts, and provide technical guidance through collaboration and code reviews while remaining hands‑on in complex backend data engineering work. The role emphasizes reliability, performance, cost efficiency, and analytical correctness across the EDW ecosystem.</div>
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
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.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
2-4 years of experience in backend data engineering or analytics platform engineering</li><li>
Strong hands-on experience with cloud data warehouses (BigQuery strongly preferred)</li><li>
Advanced SQL expertise and strong working knowledge of Python</li><li>
Proven experience designing enterprise-grade data models, including curated/ADS datasets</li><li>
Experience building and supporting semantic layers (AtScale preferred, but not required)</li><li>
Experience with universal or shared semantic modeling across multiple domains or products</li><li>
Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow</li><li>
Strong understanding of performance tuning and cost optimization techniques in large data environments</li><li>
Experience designing systems for high availability, resilience, and scalability</li><li>
Ability to work across teams and influence architectural decisions without direct authority</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
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.</div> 
Apply End Date: 05/11/2026</div>

Senior Software Engineer, Supply Chain Data & Analytics (Remote)

Purchasing Power, LLC

<div><div><div>Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we&rsquo;re focused on building simple, responsible financial solutions that put people first. PROG Holdings&rsquo; portfolio includes Progressive Leasing, a market leader in lease‑to‑own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform &mdash; all united by a commitment to innovation, access, and meaningful impact.
We&rsquo;re looking for a Data Engineer to support the development and operation of our enterprise data platform. This role is highly tactical and execution‑focused, contributing directly to the reliability, scalability, and performance of our AWS‑based data ecosystem.
You&rsquo;ll work closely with the Senior Director of Data Engineering and platform team to design, build, and maintain streaming and batch data pipelines, supporting real‑time ingestion, transformation, and delivery into analytics and reporting systems. This is a great opportunity for someone who enjoys working in distributed systems and wants to have a direct impact on how data is delivered across the business.
WHAT YOU&rsquo;LL WORK ON
Data Pipeline Development<ul><li>
Develop and maintain streaming and batch data pipelines using Kafka, Spark, and related technologies</li><li>
Implement ingestion pipelines using Kafka Connect and CDC patterns</li><li>
Build transformation and enrichment processes using Spark and PySpark</li><li>
Ensure reliable data delivery to downstream platforms including Greenplum, Elastic, S3, and analytics tools</li></ul>
Streaming Platform Support<ul><li>
Support Kafka topic configuration, partitioning strategies, and consumer group management</li><li>
Assist with schema registration and schema evolution practices</li><li>
Troubleshoot streaming pipeline issues and optimize performance</li><li>
Help maintain data integrity and reliability across distributed systems</li></ul>
Data Processing &amp; Transformation<ul><li>
Implement business logic and transformations within Spark processing frameworks</li><li>
Develop and maintain Airflow DAGs (or equivalent orchestration workflows)</li><li>
Build lookup and enrichment logic for streaming and batch pipelines</li><li>
Ensure data quality through validation, monitoring, and alerting practices</li></ul>
Platform Operations<ul><li>
Monitor pipeline performance, failures, and data latency</li><li>
Assist with observability and monitoring using tools such as Elastic and Kibana</li><li>
Support incident resolution and root‑cause analysis for data pipeline issues</li><li>
Contribute to system performance tuning and platform optimization</li></ul>
Collaboration<ul><li>
Work closely with the Data Engineering Manager to implement platform architecture</li><li>
Partner with analytics and reporting teams to support BI and data delivery needs</li><li>
Assist with evolving platform integrations and modernization initiatives</li></ul> 
WHAT YOU BRING<ul><li>
3&ndash;5+ years of experience in data engineering or distributed data systems</li><li>
Hands‑on experience building and maintaining pipelines using Spark / PySpark</li><li>
Experience working with Kafka or other streaming platforms</li><li>
Strong SQL skills and experience with data transformation</li><li>
Experience with data orchestration tools such as Apache Airflow</li><li>
Familiarity with AWS‑based data environments</li><li>
Strong troubleshooting and debugging skills for data pipelines</li><li>
Curiosity, adaptability, and comfort working in evolving technical environments</li><li>
AI‑enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.</li></ul> 
WHY THIS ROLE IS UNIQUE<ul><li>
We act with intensity, urgency, and a passion for supporting our customers and growing our business</li><li>
We hold ourselves accountable and approach challenges with a positive, &ldquo;can‑do&rdquo; mindset</li><li>
We deliver as one team, working with integrity, trust, transparency, and respect</li><li>
We believe diversity, authenticity, and curiosity make us better and fuel innovation</li><li>
We continuously ask: Is there a better way?</li></ul> 
WHAT WE OFFER<ul><li>
Hybrid work model (Atlanta‑based)</li><li>
Comprehensive benefits: medical, dental, vision, company‑paid Basic Life &amp; AD&amp;D</li><li>
401(k) Retirement Plan</li><li>
Flexible Paid Time Off</li><li>
Career Development opportunities</li><li>
Employee Purchase Program</li></ul></div></div></div>

Data Engineer (Hybrid - Atlanta, GA)

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