T
Data Engineer
Salary undisclosed
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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, Google Cloud Platform)
- Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management
- Experience with API based data acquisition and management
- Experience 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 met
- Works with big data pipelines to develop streaming analytics
- Utilize business intelligence data visualization tools and techniques to translate business analytics into solutions
- Experience and familiarity with parallel processing / multithreading and compute optimization
- Must possess effective communication skills, both verbal and written
- Strong organizational, time management and multi-tasking skills
- Work with management to prioritize business and information needs
What you ll need:
- Bachelor's 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
- Must be fully fluent in both English and Spanish/conversationally and written
- Strong experience with cloud-based data solutions, especially AWS, Azure, and Google Cloud Platform
- Familiarity with parallel processing, multithreading, and compute optimization
Nice to have:
- Experience with Databricks or Palantir Foundry software deployment is a plus
- Expertise in designing cloud solutions across platforms like Azure, AWS, and Google
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job 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, Google Cloud Platform)
- Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management
- Experience with API based data acquisition and management
- Experience 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 met
- Works with big data pipelines to develop streaming analytics
- Utilize business intelligence data visualization tools and techniques to translate business analytics into solutions
- Experience and familiarity with parallel processing / multithreading and compute optimization
- Must possess effective communication skills, both verbal and written
- Strong organizational, time management and multi-tasking skills
- Work with management to prioritize business and information needs
What you ll need:
- Bachelor's 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
- Must be fully fluent in both English and Spanish/conversationally and written
- Strong experience with cloud-based data solutions, especially AWS, Azure, and Google Cloud Platform
- Familiarity with parallel processing, multithreading, and compute optimization
Nice to have:
- Experience with Databricks or Palantir Foundry software deployment is a plus
- Expertise in designing cloud solutions across platforms like Azure, AWS, and Google
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job