Data Management Engineer

Trinity Industries, Inc.; Santiago de Querétaro; On-site; MXN 30,000 - 70,000; Full time

Job summary

Join a forward-thinking company as a Data Management Engineer, where you will play a vital role in shaping data solutions. This innovative firm is looking for a skilled professional to design data models and build robust data pipelines in the cloud. You will collaborate with data scientists to ensure business analytics needs are met while utilizing cutting-edge technologies. If you have a passion for data engineering and want to make a significant impact in a dynamic environment, this is the perfect opportunity for you!

Qualifications

• 5+ years of experience in data engineering with strong skills in data integration and transformation.
• Proficient in programming languages such as Python, Java, or Scala.

Responsibilities

• Design and implement data models and cloud storage solutions.
• Build and manage data pipelines for transformation and analytics.

Skills

Data Integration

Data Transformation

Python

Java

Scala

Effective Communication

Organizational Skills

Time Management

Multitasking

Education

Bachelor's Degree

Tools

AWS

Azure

GCP

Hadoop

Spark

Kafka

SQL Databases

Databricks

Palantir Foundry

Job description

Trinity Industries is seeking a Data Management 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 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 the technical design of 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 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 degree required 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 in writing.
• Strong experience with cloud-based data solutions, especially AWS, Azure, and GCP.
• 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.

Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Industries

Manufacturing