Remote, United States Six Feet Up is seeking a Data Engineer with 12+ years of experience designing, building, and maintaining robust and scalable data pipelines. In this role, you will have the opportunity to work on a variety of challenging projects across different industries, delivering high-quality solutions that drive business value. If you are a motivated Data Engineer seeking a challenging and rewarding role, we encourage you to apply. Your Technical Expertise Hands-on experience with ETL processes and Airflow Strong understanding of DevOps and data engineering best practices (containers, CI/CD, automated testing) A Plus: Familiarity with the various cloud platforms Your Essential Skills and Qualities You understand our clients’ problems and aspirations. You proactively seek and provide actionable feedback from/to peers. You are reliable in delivering work, and you escalate issues quickly when needed. You promote good practices while following company methodologies to ensure deliverable quality and stability.

Remote, United States Six Feet Up is looking for a full-time Senior Python Developer/DevOps Engineer to create beautiful back-end code powering sophisticated Python-based web projects and to deploy, manage, and maintain our infrastructure and applications. Your Technical Expertise 15+ years of professional Python web development experience Proficient in Django, Flask, or similar frameworks Unix/Linux System Administration and deployment experience Experience working with Terraform, Docker and Kubernetes Ability to maintain, improve, and document AWS, Azure and GCP infrastructures DevOps and Automation experience (CI/CD, Grafana, etc.) A Plus: AI/ML/Big Data Experience Understanding of AWS and/or Azure APIs Innovative understanding of cloud processes and improvements Your Essential Skills and Qualities You understand our clients’ problems and aspirations. You proactively seek and provide actionable feedback from/to peers. You are reliable in delivering work, and you escalate issues quickly when needed. You promote good practices while following company methodologies to ensure deliverable quality and stability.

Bogota, Medellin or Cartagena, Cundinamarca, Antioquia, Bolivar, Colombia JOB OVERVIEW We are seeking an experienced Data Engineer with strong skills in software development using Python language, SQL, AWS, and CI/CD practices, particularly Infrastructure as Code using AWS CDK. This role focuses on designing and implementing serverless data pipelines and cloud infrastructure to build end-to-end data solutions that extract, transform, and catalog data from various sources. You will collaborate closely with data science teams to ensure data accessibility and quality for their analytics and modeling initiatives. ROLE WILL INVOLVE, BUT NOT BE LIMITED TO: Design and implement serverless data pipelines using AWS services Build and maintain data lakes and ETL processes Create automated deployment pipelines Collaborate with data science teams Implement data governance and security best practices MINIMUM QUALIFICATIONS Python (5+ years) - Strong development background AWS Cloud & Services expertise (especially Lambda, S3, Athena, Glue) Infrastructure as Code (AWS CDK/CloudFormation) Data Engineering fundamentals (ETL/ELT, data modeling, pipeline design). PREFERRED QUALIFICATIONS Experience with AWS Lake Formation AWS Datazone EventBridge & Step Functions knowledge CI/CD pipeline implementation API integration experience SOFT SKILLS Strong analytical thinking and problem-solving abilities. Excellent communication and collaboration skills across technical and non-technical teams. Ability to self-manage and thrive in dynamic environments. Curiosity and a mindset of continuous learning. Must be able to communicate professionally in English, listening, writing and speaking. BENEFITS Compensatory days off to maintain a healthy work–life balance. Certification support to boost your professional development and continuous growth. Birthday bonuses, because we celebrate your personal milestones as much as your professional ones. Opportunity to work on projects with Fortune 100 clients, gaining exposure to world-class environments. Competitive salaries, aligned with the market and your talent. Comprehensive social security coverage, ensuring your peace of mind and well-being. 5+ years of experience in software development / data engineering with cloud technologies (Phyton and AWS) Location Hybrid: 2-3 days a week work from office in Colombia (preferably in Bogotá, Medellín, or Cartagena) Requirement Fluent in English - preferably has work with large U.S. Clients human.resources@mps-group.us

Bogotá, Medellin, or Cartagena, Cundinamarca, Antioquia, Bolivar, Colombia We are seeking an experienced Data Engineer with strong skills in software development using Python language, SQL, AWS, and CI/CD practices, particularly Infrastructure as Code using AWS CDK. This role focuses on designing and implementing serverless data pipelines and cloud infrastructure to build end-to-end data solutions that extract, transform, and catalog data from various sources. You will collaborate closely with data science teams to ensure data accessibility and quality for their analytics and modeling initiatives. ROLE WILL INVOLVE, BUT NOT BE LIMITED TO: Design and implement serverless data pipelines using AWS services Build and maintain data lakes and ETL processes Create automated deployment pipelines Collaborate with data science teams Implement data governance and security best practices MINIMUM QUALIFICATIONS Python (5+ years) - Strong development background AWS Cloud & Services expertise (especially Lambda, S3, Athena, Glue) Infrastructure as Code (AWS CDK/CloudFormation) Data Engineering fundamentals (ETL/ELT, data modeling, pipeline design). PREFERRED QUALIFICATIONS Experience with AWS Lake Formation AWS Datazone EventBridge & Step Functions knowledge CI/CD pipeline implementation API integration experience SOFT SKILLS Strong analytical thinking and problem-solving abilities. Excellent communication and collaboration skills across technical and non-technical teams. Ability to self-manage and thrive in dynamic environments. Curiosity and a mindset of continuous learning. Must be able to communicate professionally in English, listening, writing and speaking.