Technology Summer Intern 2027

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

At Devon, we will offer you a career full of energy and unmatched opportunities to solve today’s greatest challenges. Innovation, creative problem-solving and positive change happen when people step out of their comfort zone and think differently. Our values, workplace practices, wellness programs, benefits and compensation are aimed at helping employees manage their unique personal life and care for their families so they can focus on contributing to the fullest.We are seeking enthusiastic and motivated interns to join our Data Engineering team for a comprehensive internship program. This role provides exposure to modern data engineering technologies, collaboration with experienced professionals, and the chance to develop technical and analytical skills in a real-world environment.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.Technology Exposure:DatabricksPySparkSnowflakeAzure DevOpsPowerBIPower AppsSharePointAdditional modern data engineering toolsEducation:Pursuing a Bachelor’s Degree in Information Technology, Computer Science, Data Science, or a related discipline.Preferred Skills & Competencies: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.What You’ll Gain:Real-world experience in data engineering and analytics.Mentorship from experienced professionals.Exposure to industry-leading technologies and practices.Opportunities to contribute to meaningful projects that impact business operations.Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law.