Senior Data Engineer - Cloud (Remote - Latam)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - Cloud in Latin America.

We are seeking a highly skilled Senior Cloud Data Engineer to join a dynamic data platform team focused on building scalable, secure, and high-performing data solutions. In this role, you will collaborate with data engineers, product managers, and data scientists to deliver enterprise-grade analytics platforms, cloud-based pipelines, and automation solutions. You will have the opportunity to design and implement innovative cloud architectures, influence technical strategy, and work on projects that directly support business decision-making. This hands-on role offers exposure to cutting-edge AWS technologies, cloud migrations, and complex data engineering challenges in a collaborative and fast-paced environment.

Accountabilities

• Design, develop, and maintain enterprise cloud data platforms and applications
• Implement robust data solutions for migration, delivery, and machine learning pipelines
• Collaborate with data engineering, application development, and architecture teams on project execution
• Configure Identity Access Management (IAM) roles and security policies across AWS environments
• Automate deployment and monitoring of AWS services and BI applications
• Provide expert guidance on cloud architecture best practices and ensure alignment with strategic objectives
• Build resilient, reliable, and secure cloud-based data solutions that support internal stakeholders

Requirements

• 6+ years of experience in application/platform engineering, business intelligence, or analytics
• 4+ years of hands-on AWS cloud data engineering and architecture experience
• Proficiency with data warehousing platforms such as Snowflake, Redshift, or similar
• Strong expertise in AWS services: S3, EC2, RDS, Lambda, CloudFormation, Kinesis, EMR, Step Functions, VPC, IAM, Security Groups
• Programming and scripting experience in Python, SQL, and Unix shell; PowerShell is a plus
• Experience with CI/CD pipelines and automation tools (GitHub Actions, Jenkins, AWS CodePipeline, Terraform)
• Knowledge of cloud monitoring, alerting, and performance optimization
• Understanding of enterprise-level architecture, security, and PaaS/SaaS application performance
• Strong analytical, problem-solving, and multitasking abilities
• BA/BS in Computer Science, Computer Engineering, or related field; advanced degrees preferred

Great to have:

• Experience with streaming services (Kafka), containerization (Docker, Kubernetes, AWS Fargate)
• On-premises to AWS migration experience
• ETL development with Informatica or Airflow
• Exposure to feature stores (Tecton, SageMaker) and NoSQL databases

Benefits

• Fully remote work with flexibility across Latin America
• Competitive salary and performance-based incentives
• Exposure to large-scale cloud data projects and cutting-edge technologies
• Opportunity for professional growth and skill development in cloud and data engineering
• Collaborative and highly visible team environment

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!