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Senior Data Engineer (Remote - Latam) at Jobgether. 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.. . . Company Location: Venezuela, Bolivarian Republic of.