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Our AI-powered platform enables cutting-edge scientific and technical teams to work smarter, faster, and together. By joining us, you’ll help unlock new technological breakthroughs and drive innovation where it matters most.\nJoin the Mission at TeamStation AI!\nWhere do we come from?\nWe are seeking visionaries, innovators, and problem solvers who thrive in fast-paced, collaborative environments. If you’re passionate about AI, technology, and solving critical challenges, we want to hear from you. Come be part of a team where your ideas can drive the future.\nLocation: Latin America Remote\nWho We Are\nTeamStation AI builds high performing engineering teams across Latin America.\nThis role supports a TeamStation AI partner in out of home advertising technology. They run a real time operating system for modern media. The platform lives and dies by data quality, data speed, and trust in the numbers. When the data is late or wrong, everything downstream gets noisy.\nWhat You Will Do\nBuild and improve batch and streaming data pipelines with guidance from senior engineers\nDevelop Spark jobs that ingest, transform, and deliver reliable datasets for analytics and AI workloads\nImplement monitoring and basic data quality checks so issues are detected early and fixed fast\nModel data for reporting and downstream use in a warehouse, with clear ownership of tables and logic\nWork inside a cloud data stack and follow solid engineering practices for testing, reviews, and documentation\nCollaborate with data scientists, analysts, and product teams to turn requirements into clean datasets\nTech Stack and Tools\nData processing\nApache Spark\nDatabricks\nOrchestration\nApache Airflow\nCloud platform\nAmazon Web Services\nAmazon S3\nAWS Glue\nAmazon EMR\nAmazon Kinesis\nWarehousing\nSnowflake\nAmazon Redshift\nLanguages and version control\nPython\nGit\nInfrastructure as code\nTerraform\nRequirements\nFour to six years of professional experience in data engineering or a closely related role\nStrong Python skills for data processing and pipeline development\nStrong SQL skills for analysis, transformations, and performance optimization\nHands on experience building pipelines with Apache Spark and Databricks\nExperience using orchestration tools like Apache Airflow\nWorking knowledge of dimensional modeling and warehouse design\nExperience working with AWS data services such as S3, Glue, EMR, and Kinesis\nComfortable with code reviews, pull requests, and clean collaboration in Git\nFluent English with clear written communication\nNice to Have\nExperience with Terraform or similar infrastructure as code tools\nExperience with real time streaming patterns and event driven pipelines\nExperience working with geospatial datasets or large location based data\nWhat Is In It For You\nCompetitive compensation aligned with experience and impact\nFully remote work across Latin America\nCareer growth with mentorship and real ownership over production pipelines\nWork that directly supports AI systems and real world business decisions\nP.S. 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