Senior Data Engineer (Remote - Latam)

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

This role offers the chance to shape the data backbone of high-impact social, messaging, and entertainment platforms reaching tens of millions of users monthly. You will design, build, and optimize large-scale data pipelines and server-side components, ensuring efficient collection, storage, and processing of massive data sets. Working in a dynamic, collaborative environment, you will partner with engineers, product managers, and analysts to develop scalable solutions that drive actionable insights and enhance platform performance. This position allows for hands-on work with cutting-edge big data technologies while contributing to the next generation of data infrastructure. You’ll have the opportunity to grow your technical expertise, explore innovative approaches, and make a tangible impact on global digital products.

Accountabilities:

• Design, implement, and maintain robust ETL pipelines for processing large volumes of data from multiple sources.
• Maintain and improve server-side scripts, APIs, libraries, and SDKs to enhance data management and delivery.
• Identify and implement performance optimizations and process improvements across data systems.
• Automate manual processes and ensure scalable, reliable data operations.
• Collaborate with cross-functional teams to ensure the accuracy, quality, and accessibility of data.
• Build scalable software solutions that support analytics, reporting, and business intelligence needs.

• 3–4 years of experience in a software engineering environment.
• Proficiency in at least one of the following languages: Scala, Java, Python, or Golang.
• Experience with big data technologies such as Hadoop, Spark, Kafka, or similar.
• Knowledge of data modeling, data warehousing, ETL processes, and BI reporting tools.
• Familiarity with automated testing systems, CI/CD workflows, containerization, and virtualization tools (e.g., Docker, Kubernetes).
• Experience with cloud platforms such as AWS or GCP and working with Data Lakes is a plus.
• Strong analytical and problem-solving skills, with the ability to evaluate multiple approaches to design scalable, efficient solutions.
• Natural curiosity, passion for big data, and eagerness to stay current with emerging technologies.

• Competitive monthly compensation.
• Flexible remote work environment across Latin America.
• Opportunities for professional development and skill growth.
• Collaborative, inclusive, and diverse workplace culture.
• Access to cutting-edge technologies and challenging projects.
• Paid vacation and sick leave, along with health support options.

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!

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