
Data Engineering Intern
Simmons Bank
internship
Posted on:
Location Type: Office
Location: Little Rock • Texas • United States
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Job Level
About the role
- Use SQL to extract, clean, and manipulate data, applying data warehousing and modeling concepts.
- Work with team members to understand data requirements and assist in designing data solutions and reporting assets.
- Gain exposure to building and maintaining data pipelines using modern Data Engineering concepts (e.g., batch/streaming data processing).
- Learn and apply basic cloud data concepts across platforms such as Azure (preferred), AWS, or GCP.
- Support troubleshooting related to data quality, report accuracy, connectivity, or pipeline issues.
- Document processes for data integration, transformation, reporting, and pipeline maintenance.
- Learn foundational concepts related to data governance, security, and compliance in a regulated industry.
- Explore AI/ML concepts as they relate to data engineering workflows.
Requirements
- Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
- Completion of at least 2 years of college coursework.
- Foundational understanding of Python, Java, SQL, DBT, or R (coursework or project-based exposure accepted).
- Basic knowledge of Power BI or data visualization tools.
- Strong analytical and problem-solving skills, with an eagerness to learn new tools and technologies.
- Proficient in Excel (pivot tables, data cleaning, transformations).
- Effective communication and collaboration skills.
Benefits
- Learn from company executives and gain exposure to Simmons Bank’s culture.
- Weekly lunch & learn panels with company leadership.
- Gain real-world experience in banking.
- Work on impactful projects that contribute to the team’s success.
- Receive mentorship from an experienced associate.
- Develop professional connections through networking events.
- Potential to be considered for future opportunities at Simmons Bank.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonJavaDBTRdata warehousingdata modelingdata pipelinesdata integrationdata transformation
Soft Skills
analytical skillsproblem-solving skillscommunication skillscollaboration skillseagerness to learn