Data Engineer I
Simmons Bank•Little Rock, AR
About The Position
The Data Engineer I designs, develops, and delivers data solutions for different business units. The role supports an agile team building and maintaining an on-premises and cloud-based analytics platform that integrates data from multiple systems to enable analytical products. The position uses Microsoft O365 Power Platform and cloud-native services to build data engineering pipelines and data products in alignment with architecture and best practices, collaborating with cross-functional teams to develop and manage scalable, reliable solutions.
Requirements
- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
- 1–4 years of practical hands-on experience with data engineering projects.
- Proficiency in programming languages such as Microsoft Power Fx, PowerShell, DAX, and SQL.
- Familiarity with SQL for database querying.
- Familiarity with O365 data products such as SharePoint Online, OneDrive, Power BI, and Dataverse.
- Understanding of relational databases, such as Microsoft SQL Server.
- Basic understanding of data warehousing concepts.
- Familiarity with Microsoft Power Platform tools and services, including Power Apps, Power Automate, and Power BI.
- Knowledge of ETL processes.
- Basic understanding of cloud services such as AWS, Azure, and Google Cloud Platform, and familiarity with their data services.
- Understanding of building and maintaining data pipelines.
- Familiarity with workflow orchestration tools such as Apache Airflow or Luigi.
- Knowledge of and experience working in an Agile delivery model.
- Ability to identify and solve technical issues, and to think analytically about data-related problems.
- Ability to handle data carefully to ensure accuracy and integrity.
- Ability to explain technical concepts to non-technical stakeholders.
- Effective collaboration skills and ability to work in a team environment.
- Willingness to learn from senior team members and contribute to team goals.
Nice To Haves
- Certifications in relevant technologies or tools, such as PL-900 (Fundamentals), PL-400/AB-400 (Developer Associate), AB-410 (Intelligent Applications Builder), or PL-300 (Power BI Data Analyst).
- Banking certification or experience.
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 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.
- Perform other duties and responsibilities as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
