Data Engineer I: Build Scalable Data Pipelines & Analytics

Simmons Bank; Little Rock (AR); On-site; USD 65,000 - 95,000; Full time

Job summary

Simmons Bank is seeking a Data Engineer I to design, develop, and deliver data solutions across business units. The role emphasizes building data pipelines with Microsoft Power Platform and cloud services, aligning with architecture and best practices.

You will collaborate with cross-functional teams to scale reliable data engineering solutions for on-premises and cloud analytics. The position requires a Bachelor's degree in a technical field and 1–4 years of hands-on data engineering

Qualifications

• Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
• 1–4 years of hands-on data engineering experience.
• Certifications PL-900, PL-400/AB-400, AB-410, PL-300; banking certification a plus

Responsibilities

• Assist in building and maintaining ETL (extract, transform, load) pipelines.
• Write basic scripts to automate data collection and preprocessing tasks.
• Integrate data from various sources into data warehouses.
• Ensure data quality and consistency across different datasets.
• Perform data cleansing and validation tasks.
• Monitor data quality and report issues to senior team members.
• Work under the guidance of senior data engineers and data scientists.
• Assist in documenting processes and maintaining technical documentation.
• Performs other duties and responsibilities as assigned.

Tools

Power Fx

PowerShell

DAX

SQL

SharePoint Online

OneDrive

Power BI

Dataverse

SQL Server

Apache Airflow

Luigi

AWS

Azure

Google Cloud

Job description

Simmons Bank is seeking a Data Engineer I to design, develop, and deliver data solutions across business units. The role emphasizes building data pipelines with Microsoft Power Platform and cloud services, aligning with architecture and best practices.

You will collaborate with cross-functional teams to scale reliable data engineering solutions for on-premises and cloud analytics. The position requires a Bachelor's degree in a technical field and 1–4 years of hands-on data engineering