- Irving, Texas, United States
- Internship · Intern
- 0–0 years
Build scalable data products, cloud-native data pipelines, and modern data platforms that support thousands of stores and millions of customer interactions.
Responsibilities
- Design, develop, and support scalable data pipelines and data integration solutions.
- Build data engineering solutions using Python, SQL, PySpark, and modern cloud technologies.
- Develop and maintain trusted data products that enable analytics, reporting, operational intelligence, and AI use cases.
- Contribute to enterprise data platforms built on Databricks, Apache Spark, and Lakehouse architectures.
- Implement data quality, monitoring, testing, and observability capabilities to improve data reliability.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field.
- Nice to have: Hands-on experience through coursework, internships, research, personal projects, or open-source contributions.
- Nice to have: Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
- Nice to have: Exposure to Databricks, Apache Spark, Delta Lake, Airflow, dbt, Snowflake, or related technologies.
- Nice to have: Experience using Git and modern software development tools.