📍 Job Overview

• Job Title: Data Platform Infrastructure Engineer
• Company: Groupon
• Location: Remote - Colombia
• Job Type: Full-Time
• Category: DevOps Engineer, Infrastructure Engineer
• Date Posted: 2025-07-23
• Experience Level: Mid-Senior Level (5-10 years)
• Remote Status: Remote OK

🚀 Role Summary

• Key Responsibilities:
  • Design, build, and automate scalable data infrastructure across GCP and AWS.
  • Ensure platform reliability, security, and cost-efficiency through robust monitoring, automation, and compliance practices.
  • Collaborate with Data Operations, Tools, and Pipeline teams to support data-driven initiatives and drive the platform forward.
  • Develop and maintain secure, scalable data pipelines and infrastructure using an infrastructure-as-code approach.
  • Champion cloud-first best practices and foster a culture of high performance, innovation, and accountability.
  • Engage in an agile development process, leveraging async communication and shared ownership to support fast-paced business needs.

📝 Enhancement Note: This role requires a strong background in cloud infrastructure, data platform engineering, or DevOps, with a focus on GCP and AWS. Experience with infrastructure-as-code tools like Terraform is essential, as is proficiency in Python and Shell scripting.

💻 Primary Responsibilities

• Technical Infrastructure Management:

  • Design, implement, and maintain scalable data infrastructure across GCP and AWS.
  • Ensure platform reliability, security, and cost-efficiency through robust monitoring, automation, and compliance practices.
  • Collaborate with cross-functional teams to support data-driven initiatives and drive the platform forward.

• Data Pipeline Development & Maintenance:

  • Develop and maintain secure, scalable data pipelines and infrastructure using an infrastructure-as-code approach.
  • Work with Big Data frameworks such as Google Dataproc, GCS Storage, BigQuery, BigTable, Hive, Spark, and Airflow.

• Cloud Platform Expertise:

  • Demonstrate strong expertise in cloud platforms, preferably GCP or AWS, including IAM, VPC, Storage, BigQuery, and Cloud Functions.
  • Champion cloud-first best practices and foster a culture of high performance, innovation, and accountability.

• Agile Development & Collaboration:

  • Engage in an agile development process, leveraging async communication and shared ownership to support fast-paced business needs.
  • Work effectively in a globally distributed team, with a strong sense of ownership and commitment to building for scale and long-term maintainability.

📝 Enhancement Note: This role requires a deep understanding of cloud infrastructure, data pipelines, and agile development processes. Experience with monitoring and observability tools, access controls, and cross-cloud expertise would be beneficial.

🎓 Skills & Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Experience: 5+ years of hands-on experience in Cloud Infrastructure, Data Platform Engineering, or DevOps.

Required Skills:

• Strong expertise in cloud platforms (GCP or AWS)
• Proficiency in Infrastructure as Code with Terraform
• Good programming and scripting skills in Python and Shell
• Deep knowledge of Big Data frameworks (Google Dataproc, GCS Storage, BigQuery, BigTable, Hive, Spark, Airflow)
• Excellent communication and collaboration skills

Preferred Skills:

• Familiarity with monitoring and observability tools (Grafana, Elasticsearch, Prometheus, Wavefront)
• Experience implementing access controls, data encryption, and compliance standards (e.g., SOX)
• Cross-cloud expertise (strong in either AWS or GCP with a willingness to learn the other)
• Experience working with or supporting ML platforms or AI infrastructure
• Prior experience mentoring junior engineers or contributing to team leadership

📝 Enhancement Note: This role requires a strong technical skill set, with a focus on cloud infrastructure, data platforms, and programming languages. Experience with monitoring tools, access controls, and AI infrastructure would be beneficial.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• Demonstrate experience in designing, building, and maintaining scalable data infrastructure across cloud platforms (GCP or AWS).
• Showcase projects that highlight your ability to ensure platform reliability, security, and cost-efficiency through robust monitoring, automation, and compliance practices.
• Include examples of collaborating with cross-functional teams to support data-driven initiatives and drive platforms forward.
• Highlight your proficiency in Infrastructure as Code with Terraform, and your ability to develop and maintain secure, scalable data pipelines and infrastructure.

Technical Documentation:

• Provide documentation for your projects, including code quality, commenting, and documentation standards.
• Include version control, deployment processes, and server configuration details.
• Demonstrate your understanding of testing methodologies, performance metrics, and optimization techniques.

📝 Enhancement Note: This role requires a strong portfolio that demonstrates your technical skills and experience in cloud infrastructure, data platforms, and collaboration. Include detailed documentation and examples of your work to showcase your abilities.

💵 Compensation & Benefits

Salary Range: Competitive salary based on experience and location. Groupon offers a comprehensive benefits package, including health, dental, and vision insurance, 401(k) matching, and paid time off.

Benefits:

• Health, dental, and vision insurance
• 401(k) matching
• Paid time off
• Flexible work arrangements
• Employee discounts on Groupon services

Working Hours: Full-time position with a standard workweek of 40 hours. Flexible hours and remote work arrangements are available.

📝 Enhancement Note: Groupon offers a competitive salary and benefits package for this role. The salary range is estimated to be in the range of COP 100,000,000 - COP 150,000,000 per year, based on industry standards and experience level.

🎯 Team & Company Context

Company Culture:

• Industry: E-commerce and local services marketplace
• Company Size: Large (10,000+ employees)
• Founded: 2008

Team Structure:

• The Data & Discovery organization is globally distributed, with a collaborative team of seven working in a Kanban-style model.
• The team champions strong ownership, cross-functional collaboration, and continuous learning.
• The Data Platform Infrastructure Engineer will work closely with Data Operations, Tools, and Pipeline teams to support data-driven initiatives and drive the platform forward.

Development Methodology:

• Agile development process with async communication and shared ownership
• Infrastructure as Code approach using Terraform
• Collaboration and cross-functional teamwork to support fast-paced business needs

Company Website: Groupon

📝 Enhancement Note: Groupon is a large, globally distributed company with a collaborative team structure. The Data & Discovery organization champions strong ownership, cross-functional collaboration, and continuous learning.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior Level (5-10 years) - This role requires a strong background in cloud infrastructure, data platform engineering, or DevOps, with a focus on GCP and AWS. Experience with infrastructure-as-code tools like Terraform is essential, as is proficiency in Python and Shell scripting.

Reporting Structure: This role reports directly to the Manager of Data Platform Infrastructure, who leads the Data & Discovery organization. The team is globally distributed, with a collaborative structure that encourages strong ownership and cross-functional collaboration.

Technical Impact: The Data Platform Infrastructure Engineer will play a critical role in building a resilient, automated, and future-ready data platform that empowers teams to adopt an AI-driven development mindset. This role will have a significant impact on the scalability, reliability, and security of Groupon's data ecosystem.

Growth Opportunities:

• Technical Skill Development: This role offers opportunities to learn and work with cutting-edge technologies, such as GCP, AWS, Terraform, and various Big Data frameworks. There will be ample opportunities to grow your technical skills and stay up-to-date with the latest industry trends.
• Team Leadership: As a foundational member of the team, there will be opportunities to mentor junior engineers and contribute to team leadership. This role can serve as a stepping stone to more senior positions within the organization.
• Architecture Decision-Making: The Data Platform Infrastructure Engineer will be instrumental in making critical architecture decisions that shape the future of Groupon's data ecosystem. This role offers the opportunity to have a significant impact on the company's technical direction.

📝 Enhancement Note: This role offers significant growth opportunities for technical skill development, team leadership, and architecture decision-making. The Data Platform Infrastructure Engineer will play a critical role in shaping the future of Groupon's data ecosystem.

🌐 Work Environment

Office Type: Remote work environment with flexible hours and a global team.

Office Location(s): Remote - Colombia

Workspace Context:

• Remote Work: The Data Platform Infrastructure Engineer will work remotely, collaborating with a globally distributed team using various communication and collaboration tools.
• Development Tools: Groupon provides access to the necessary development tools, including cloud platforms (GCP and AWS), Infrastructure as Code tools (Terraform), and Big Data frameworks (Google Dataproc, GCS Storage, BigQuery, BigTable, Hive, Spark, Airflow).
• Cross-Functional Collaboration: The Data & Discovery organization works closely with various teams, including Data Operations, Tools, and Pipeline teams, to support data-driven initiatives and drive the platform forward.

Work Schedule: Flexible work arrangements with a standard workweek of 40 hours. Remote work allows for a flexible schedule, with the ability to work from anywhere with an internet connection.

📝 Enhancement Note: The remote work environment at Groupon offers a flexible and collaborative workspace, with access to the necessary development tools and a global team. The Data Platform Infrastructure Engineer will work closely with cross-functional teams to support data-driven initiatives and drive the platform forward.

📄 Application & Technical Interview Process

Interview Process:

1. Technical Preparation: Familiarize yourself with GCP and AWS, with a focus on IAM, VPC, Storage, BigQuery, and Cloud Functions. Brush up on your Terraform skills and be prepared to discuss your experience with Big Data frameworks, such as Google Dataproc, GCS Storage, BigQuery, BigTable, Hive, Spark, and Airflow.
2. Technical Assessment: Complete a technical assessment that focuses on your cloud infrastructure, data platform engineering, and DevOps skills. Be prepared to discuss your experience with infrastructure-as-code tools, programming languages, and monitoring tools.
3. Behavioral Assessment: Participate in a behavioral assessment that focuses on your problem-solving skills, communication abilities, and cultural fit. Be prepared to discuss your experience working in a globally distributed team and your ability to collaborate effectively with cross-functional teams.
4. Final Evaluation: Based on the results of the technical and behavioral assessments, the hiring team will make a final evaluation and extend an offer to the selected candidate.

Portfolio Review Tips:

• Portfolio Structure: Organize your portfolio to highlight your experience with cloud infrastructure, data platforms, and collaboration. Include examples of your work that demonstrate your ability to design, build, and maintain scalable data infrastructure, ensure platform reliability, security, and cost-efficiency, and collaborate with cross-functional teams.
• Technical Documentation: Include detailed documentation for your projects, including code quality, commenting, and documentation standards. Highlight your understanding of testing methodologies, performance metrics, and optimization techniques.
• Live Demonstrations: Prepare live demonstrations of your projects, showcasing your ability to work with cloud platforms, infrastructure-as-code tools, and Big Data frameworks. Be prepared to discuss your technical decisions and the impact of your work on the scalability, reliability, and security of the data ecosystem.

Technical Challenge Preparation:

• Cloud Infrastructure Challenges: Familiarize yourself with cloud infrastructure challenges and be prepared to discuss your approach to designing, building, and maintaining scalable data infrastructure. Be ready to explain your strategies for ensuring platform reliability, security, and cost-efficiency.
• Data Pipeline Challenges: Brush up on your knowledge of Big Data frameworks and be prepared to discuss your experience with data pipeline development and maintenance. Be ready to explain your approach to working with large datasets and ensuring data quality, integrity, and consistency.
• Collaboration Challenges: Prepare for collaboration challenges that focus on your ability to work effectively in a globally distributed team. Be ready to discuss your experience with cross-functional collaboration and your ability to support fast-paced business needs.

ATS Keywords: [Comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📝 Enhancement Note: The interview process for the Data Platform Infrastructure Engineer role at Groupon is designed to assess your technical skills, problem-solving abilities, and cultural fit. Be prepared to discuss your experience with cloud infrastructure, data platforms, and collaboration, and be ready to showcase your portfolio and technical expertise.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (This role focuses on backend and infrastructure technologies)

Backend & Server Technologies:

• Cloud Platforms: GCP and AWS (IAM, VPC, Storage, BigQuery, Cloud Functions)
• Infrastructure as Code: Terraform
• Big Data Frameworks: Google Dataproc, GCS Storage, BigQuery, BigTable, Hive, Spark, Airflow

Development & DevOps Tools:

• Cloud Platform Tools: GCP Console, AWS Management Console
• Infrastructure as Code Tools: Terraform
• Monitoring Tools: Grafana, Elasticsearch, Prometheus, Wavefront
• Version Control: Git
• Collaboration Tools: Slack, Google Workspace

📝 Enhancement Note: The technology stack for the Data Platform Infrastructure Engineer role at Groupon is focused on cloud infrastructure, data platforms, and backend technologies. Familiarize yourself with GCP and AWS, Terraform, and various Big Data frameworks to succeed in this role.

👥 Team Culture & Values

Web Development Values:

• User-Centric Design: Groupon prioritizes user experience and user-centric design in all its products and services. The Data Platform Infrastructure Engineer will be instrumental in ensuring that the data platform meets the needs of users and supports Groupon's business goals.
• Performance Optimization: Groupon is committed to delivering fast, reliable, and scalable services. The Data Platform Infrastructure Engineer will be responsible for ensuring that the data platform performs optimally and can scale to meet the demands of Groupon's growing user base.
• Accessibility & Inclusion: Groupon strives to make its products and services accessible to all users, regardless of their abilities or backgrounds. The Data Platform Infrastructure Engineer will be responsible for ensuring that the data platform is accessible and inclusive, following best practices and industry standards.

Collaboration Style:

• Cross-Functional Collaboration: The Data & Discovery organization works closely with various teams, including Data Operations, Tools, and Pipeline teams, to support data-driven initiatives and drive the platform forward. The Data Platform Infrastructure Engineer will be expected to collaborate effectively with these teams and contribute to a culture of high performance, innovation, and accountability.
• Code Review & Knowledge Sharing: Groupon encourages a culture of code review and knowledge sharing, with a focus on continuous learning and improvement. The Data Platform Infrastructure Engineer will be expected to participate in code reviews, mentoring, and knowledge-sharing activities to help the team grow and succeed.
• Agile Development: Groupon follows an agile development process, with a focus on async communication, shared ownership, and fast-paced business needs. The Data Platform Infrastructure Engineer will be expected to work effectively in this environment, contributing to a culture of high performance and innovation.

📝 Enhancement Note: The team culture at Groupon is user-centric, performance-driven, and collaborative. The Data Platform Infrastructure Engineer will be expected to contribute to a culture of high performance, innovation, and accountability, working closely with cross-functional teams to support data-driven initiatives and drive the platform forward.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• Cloud Infrastructure Challenges: Design, build, and maintain scalable data infrastructure across GCP and AWS, ensuring platform reliability, security, and cost-efficiency. Collaborate with cross-functional teams to support data-driven initiatives and drive the platform forward.
• Data Pipeline Challenges: Develop and maintain secure, scalable data pipelines and infrastructure using an infrastructure-as-code approach. Work with Big Data frameworks such as Google Dataproc, GCS Storage, BigQuery, BigTable, Hive, Spark, and Airflow to ensure data quality, integrity, and consistency.
• Monitoring & Observability Challenges: Implement monitoring and observability tools to ensure platform reliability, security, and cost-efficiency. Work with tools such as Grafana, Elasticsearch, Prometheus, and Wavefront to monitor the data platform and identify areas for improvement.

Learning & Development Opportunities:

• Technical Skill Development: Groupon offers opportunities to learn and work with cutting-edge technologies, such as GCP, AWS, Terraform, and various Big Data frameworks. The Data Platform Infrastructure Engineer will have ample opportunities to grow their technical skills and stay up-to-date with the latest industry trends.
• Team Leadership & Mentoring: As a foundational member of the team, the Data Platform Infrastructure Engineer will have opportunities to mentor junior engineers and contribute to team leadership. This role can serve as a stepping stone to more senior positions within the organization.
• Architecture Decision-Making: The Data Platform Infrastructure Engineer will be instrumental in making critical architecture decisions that shape the future of Groupon's data ecosystem. This role offers the opportunity to have a significant impact on the company's technical direction and contribute to a culture of high performance, innovation, and accountability.

📝 Enhancement Note: The Data Platform Infrastructure Engineer role at Groupon presents significant technical challenges and growth opportunities. This role requires a strong background in cloud infrastructure, data platforms, and collaboration, with a focus on GCP and AWS, Terraform, and various Big Data frameworks.

💡 Interview Preparation

Technical Questions:

• Cloud Infrastructure Questions: Be prepared to discuss your experience with cloud infrastructure, data platforms, and collaboration. Demonstrate your understanding of GCP and AWS, Terraform, and various Big Data frameworks. Explain your approach to designing, building, and maintaining scalable data infrastructure, ensuring platform reliability, security, and cost-efficiency.
• Data Pipeline Questions: Brush up on your knowledge of Big Data frameworks and be ready to discuss your experience with data pipeline development and maintenance. Explain your approach to working with large datasets and ensuring data quality, integrity, and consistency.
• Collaboration Questions: Prepare for collaboration questions that focus on your ability to work effectively in a globally distributed team. Demonstrate your understanding of agile development processes, async communication, and shared ownership. Explain your approach to supporting fast-paced business needs and driving the platform forward.

Company & Culture Questions:

• Company Values: Familiarize yourself with Groupon's company values, including user-centric design, performance optimization, accessibility, and inclusion. Be prepared to discuss how these values influence your approach to data infrastructure, data pipelines, and collaboration.
• Team Culture: Research Groupon's team culture, focusing on cross-functional collaboration, code review, knowledge sharing, and agile development. Be prepared to discuss how you would contribute to this culture and support the team's goals and objectives.
• Groupon's Mission: Understand Groupon's mission to build strong communities through thriving small businesses. Be prepared to discuss how your role as a Data Platform Infrastructure Engineer would support this mission and contribute to Groupon's success.

Portfolio Presentation Strategy:

• Portfolio Structure: Organize your portfolio to highlight your experience with cloud infrastructure, data platforms, and collaboration. Include examples of your work that demonstrate your ability to design, build, and maintain scalable data infrastructure, ensure platform reliability, security, and cost-efficiency, and collaborate with cross-functional teams.
• Live Demonstrations: Prepare live demonstrations of your projects, showcasing your ability to work with cloud platforms, infrastructure-as-code tools, and Big Data frameworks. Be prepared to discuss your technical decisions and the impact of your work on the scalability, reliability, and security of the data ecosystem.
• Technical Deep Dive: Be prepared to discuss the technical details of your projects, including your approach to cloud infrastructure, data pipelines, and collaboration. Demonstrate your understanding of GCP and AWS, Terraform, and various Big Data frameworks, and explain how your work supports Groupon's business goals and objectives.

📝 Enhancement Note: The interview process for the Data Platform Infrastructure Engineer role at Groupon is designed to assess your technical skills, problem-solving abilities, and cultural fit. Be prepared to discuss your experience with cloud infrastructure, data platforms, and collaboration, and be ready to showcase your portfolio and technical expertise.

📌 Application Steps

To apply for this Data Platform Infrastructure Engineer position at Groupon:

1. Customize Your Resume: Tailor your resume to highlight your experience with cloud infrastructure, data platforms, and collaboration. Include relevant keywords and examples of your work with GCP, AWS, Terraform, and various Big Data frameworks.
2. Prepare Your Portfolio: Organize your portfolio to showcase your experience with cloud infrastructure, data platforms, and collaboration. Include examples of your work that demonstrate your ability to design, build, and maintain scalable data infrastructure, ensure platform reliability, security, and cost-efficiency, and collaborate with cross-functional teams.
3. Research the Company: Familiarize yourself with Groupon's company values, team culture, and mission. Be prepared to discuss how your role as a Data Platform Infrastructure Engineer would support Groupon's business goals and objectives.
4. Prepare for the Interview: Brush up on your knowledge of GCP, AWS, Terraform, and various Big Data frameworks. Be ready to discuss your experience with cloud infrastructure, data pipelines, and collaboration, and prepare for technical and behavioral interview questions.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.