Databricks Engineer / Big Data Engineer (Remote - Latam) at Jobgether

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Databricks Engineer / Big Data Engineer (Remote - Latam) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Databricks Engineer / Big Data Engineer. in . Latin America. .. We are seeking a proactive Databricks Engineer to design, build, and maintain scalable data pipelines and solutions in a cloud-native environment. This role offers the opportunity to work closely with data scientists, architects, and analysts to deliver reliable, high-quality data for analytics and machine learning. You will leverage Databricks, Apache Spark, and modern cloud technologies to transform raw data into actionable insights. The position provides exposure to cutting-edge data engineering practices while working in a collaborative, fully remote Latin American team focused on innovation, efficiency, and performance.. . Accountabilities:. Develop and maintain . ETL/ELT pipelines. using Databricks and Apache Spark.. Transform raw data into structured, analytics-ready formats to support reporting and machine learning.. Optimize performance of Databricks notebooks, workflows, and pipelines for efficiency and scalability.. Integrate Databricks with cloud platforms (AWS, Azure, or GCP) and external data sources.. Implement data validation, monitoring, and quality assurance processes to ensure reliable outputs.. Collaborate with data scientists to support model training, deployment, and operationalization.. Participate in architecture and code reviews, providing input to improve system reliability and maintainability.. 2–5 years of experience. in data engineering roles, ideally with Databricks and big data technologies.. Strong proficiency in . Apache Spark, Python, Scala, and SQL. .. Hands-on experience with . Databricks notebooks, Delta Lake, and MLflow. .. Knowledge of cloud platforms such as . Azure Databricks, AWS, or GCP. .. Understanding of . data lakes, data warehouses, and big data concepts. .. Familiarity with data quality frameworks and monitoring best practices.. English B2 or higher. (conversational level).. Strong analytical, problem-solving, and collaboration skills in remote, cross-functional teams.. . Company Location: Colombia.