Data Engineering Intern: Hands-on with Databricks & Snowflake

FHLB Des Moines; Oklahoma City (OK); On-site; USD 25,000 - 39,000; Full time

Benefits offered by this job

Mentorship

Paid internship

Real-world projects

Job summary

Devon is offering an internship on the Data Engineering team to design, build, and maintain data pipelines across platforms. You will work with Databricks, PySpark, and Snowflake to process, clean, and transform data under supervision.

You will learn cloud concepts using Azure DevOps, contribute to dashboards with Power BI/Power Apps, and gain real-world experience through mentored projects and cross-functional collaboration.

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.

Responsibilities

• Assist in designing, developing, and maintaining data pipelines across systems.
• Collaborate with data engineers and analysts to process, clean, and transform data using Databricks, PySpark, and Snowflake.
• Support the creation and maintenance of data models and data integration processes.
• Participate in testing and debugging data applications to ensure data quality.
• Help develop and document data processing workflows and best practices.

Skills

Data engineering concepts

SQL basics

Analytical thinking

Communication skills

Willingness to learn

Education

Bachelor's degree in IT/CS/Data Science or related

Tools

Databricks

PySpark

Snowflake

Azure DevOps

Power BI

Power Apps

SharePoint

Job description

Devon is offering an internship on the Data Engineering team to design, build, and maintain data pipelines across platforms. You will work with Databricks, PySpark, and Snowflake to process, clean, and transform data under supervision.

You will learn cloud concepts using Azure DevOps, contribute to dashboards with Power BI/Power Apps, and gain real-world experience through mentored projects and cross-functional collaboration.