Trinity Industries is seeking a Data Engineer in our Queretaro, MX Office.The successful candidate will be part of our Dallas, TX Corporate Enterprise Data Engineering team. The engineer will have professional experience in data integration, data transformation, and developing data pipelines.What you'll do:Design data models and data storage solutions in the cloud (e.G., AWS, Azure, GCP)Proficiency in programming languages commonly used in data engineering, such as Python, Java, or ScalaBuild processes supporting data transformation, data structures, metadata, dependency, and workload managementExperience with API-based data acquisition and managementExperience with data storage and processing technologies (e.G., Hadoop, Spark, Kafka, SQL databases)Work with data scientists to facilitate technical design of complex data sourcing, transformation, and aggregation logic, ensuring business analytics requirements are metWork with big data pipelines to develop streaming analyticsUtilize business intelligence data visualization tools and techniques to translate business analytics into solutionsExperience and familiarity with parallel processing/multithreading and compute optimizationMust possess effective communication skills, both verbal and writtenStrong organizational, time management, and multi-tasking skillsWork with management to prioritize business and information needsWhat you'll need:Bachelor's or equivalent with a minimum of 5 years of relevant experienceProficiency in programming languages relevant to data engineering, including Python, Java, or ScalaDeep understanding of data modelingMust be fully fluent in both English and Spanish (conversationally and written)Strong experience with cloud-based data solutions, especially AWS, Azure, and GCPFamiliarity with parallel processing, multithreading, and compute optimizationNice to have:Experience with Databricks or Palantir Foundry software deployment is a plusExpertise in designing cloud solutions across platforms like Azure, AWS, and Google#J-18808-Ljbffr
