Data Engineering Summer Intern: Build Pipelines Dashboards

FHLB Des Moines; Oklahoma City (OK); On-site; USD 21,000 - 34,000; Full time

Job summary

Devon Energy is offering a data engineering internship to gain real-world experience designing and maintaining data pipelines, collaborating with analytics teams, and applying Databricks, PySpark, and Snowflake skills.

You will work with cloud concepts on Azure DevOps, contribute to dashboards, and learn in a mentored, team-driven environment that supports professional growth and practical project impact.

Qualifications

• Basic understanding of data processing, data modeling, and SQL.
• Interest in cloud computing and data engineering concepts.
• Strong analytical, problem-solving, and communication skills.
• Willingness to learn new technologies and work collaboratively.
• Digital literacy and attention to detail.

Responsibilities

• Assist in designing, developing, and maintaining data pipelines to support efficient and reliable data movement across systems.
• Collaborate with data engineers and analysts to process, clean, and transform data using tools such as Databricks, PySpark, and Snowflake.
• Support the creation and maintenance of data models and data integration processes.
• Participate in testing and debugging data applications and scripts to ensure data quality and integrity.
• Help develop and document data processing workflows and best practices.
• Learn and apply cloud computing concepts using platforms like Azure DevOps.
• Contribute to the development of data visualization dashboards and reports.
• Engage in team meetings and cross-functional collaborations to understand business data requirements.
• Stay current with emerging data engineering technologies and industry trends through active learning.

Tools

Databricks

PySpark

Snowflake

Azure DevOps

PowerBI

Power Apps

SharePoint

SQL

Data modeling

Data processing

Job description

Devon Energy is offering a data engineering internship to gain real-world experience designing and maintaining data pipelines, collaborating with analytics teams, and applying Databricks, PySpark, and Snowflake skills.

You will work with cloud concepts on Azure DevOps, contribute to dashboards, and learn in a mentored, team-driven environment that supports professional growth and practical project impact.