Role: Data Management Engineer

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.

Qualifications: 

Valid Visa (preferable)

Modality: Hybrid (3 days on site)

Medical Test

Language: Fluent English (B2, C1, C2)

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 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 skillsWork with management to prioritize business and information needs.

What you’ll need:

Bachelors 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 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