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Information Technology
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2400776 Requisition #

Trinity Industries, Inc.is seeking aData Engineer to join our Queretaro, Mexico Office!

 

The successful candidate will be part of our Dallas, TX Corporate Office Enterprise - Data Engineering team and will be responsible for data integration, data transformation, and developing data pipelines using parallel processing with cloud-based technologies. 

 

What you’ll do:

  • Design data models and data storage solutions in the cloud(e.g., AWS, Azure, GCP with strong preference for Azure Cloud)
  • Build processes supporting query optimization, data transformation, data structures, metadata, dependency, and workload management
  • Work with data scientists to facilitate technical designof complex data sourcing, transformation, and aggregation logic, ensuring business analytics requirements are met
  • Work with big data pipelines to develop streaming analytics
  • Utilize business intelligence data visualization tools and techniquesto translate business analytics into solutions
  • Engage regularly with management to prioritize business and information needs

What you’ll need:

  • Bachelor's (preferably master’s in computer science, business analytics, mathematics, and/or quantitative fields) or equivalent with a minimum of 5 years of relevant experience
  • Proficiency in programming languages relevant to data engineering, including Python, Java, or Scala
  • Deep understanding of data modeling and data pipelines
  • Experience with data storage and processing technologies(e.g., Hadoop, Spark, Kafka, SQL databases)
  • Strong experience with cloud-based data solutions, especially AWS, Azure, and GCP
  • Experience with API based data acquisition and management
  • Familiarity with parallel processing, multithreading, and compute optimization
  • Must be fully fluent in both English and Spanish/conversationally and written
  • Databricks or Palantir Foundry AI/BI application development is a plus
  • Background in leveraging semi-structured and unstructured data for NLP pipelines and image classification pipelines 

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