Data Engineer Intern

Mr. Cooper's summer internship program offers college students the chance to discover what it's like to work at a leading financial services organization. Our interns deliver innovative solutions to real business challenges and build enduring relationships with their manager and an assigned mentor. While gaining insight into the industry, interns are immediately part of Mr. Cooper's collaborative culture. Spend your summer at Mr. Cooper and gain a career where you can make a difference! Our summer internship program begins in June 2025 and ends in August 2025. 

The Data Engineer Interns will have access to a wide range of projects and opportunities to apply their skills in real-world scenarios. They will gain hands-on experience and enhance their knowledge in their field of interest.Interns will work alongside a team of experienced professionals who are passionate about mentorship. 

Roles and Responsibilities

• Assist in extracting data from various sources, including databases, APIs, logs, GCP services, and Kafka streams

• Transform the data into a usable format for analysis, considering Snowflake as a data warehousing solution

•  Participate in setting up and managing databases on GCP, utilizing services like BigQuery or Cloud SQL

•  Ensure data is stored efficiently and securely within Snowflake and can be easily accessed for analysis

• Contribute to the development and maintenance of data pipelines using tools like Apache Spark on Databricks to automate the flow of data

• Ensure seamless data movement from source to destination while considering the real-time capabilities of Kafka

• Implement data quality checks and monitoring for data pipelines and databases to ensure data accuracy and integrity

• Use Snowflake's features for data validation

• Collaborate in data modeling, schema design, and optimization of data storage and retrieval within Snowflake on GCP

•  Work with cross-functional teams to integrate data into various systems and applications, ensuring data is available for business intelligence and reporting on GCP

•  Write and maintain scripts and code (e.g., Python, Java, or Scala) to support data engineering tasks, especially within the context of Databricks

• Gain experience in GCP's cloud platforms for data storage, processing, and analysis, and leverage Databricks for advanced analytics and processing

• Maintain documentation for data engineering processes, data pipelines, and best practices, ensuring a record of changes and configurations

• Work closely with data analysts, data scientists, and other team members to understand their data requirements and provide support in data provision using the mentioned technologies

• Stay updated on the latest data engineering tools, technologies, and best practices, especially those related to GCP, Databricks, Snowflake, and Kafka.

Basic Qualifications

• Expertise in programming languages such as Python, Java, Scala, or SQL. 

• Be enrolled full-time and pursuing an undergraduate or graduate degree from an accredited college/university or have graduated within one year of start (June 2025)

• Proficiency in working with databases (SQL and NoSQL) and ETL (Extract, Transform, Load)

• Familiarity with cloud platforms like Google Cloud Platform (GCP) and the ability to understand and use cloud-based data storage, processing, and analysis services

• Demonstrable experience with GCP or similar cloud platforms can be a significant qualification

• Candidates must have authorization to work permanently in the US without the need for sponsorship (Currently, our organization is unable to support candidates that are on OPT, CPT or candidates that will need sponsorship, now or in the future)     

• Local to DFW