Data Engineer (Tulsa, OK)

Do you have a knack for working with large datasets and a passion for building cloud-based data solutions? We're looking for a talented Cloud Data Engineer to help us tackle our growing data needs and help drive the next wave of data innovation.

Key Responsibilities:

• Develop, deploy, and maintain cloud-based data solutions in Azure using Databricks and other Azure services.
• Build end-to-end data pipelines that support data integration, transformation, and analysis.
• Collaborate with various teams across the business to ensure the timely and efficient delivery of data solutions.
• Contribute to the continuous improvement of the data engineering process, ensuring best practices in scalability, security, and maintainability.
• Monitor data quality, performance, and ensure the reliability of all deployed solutions.

Key Technologies:

• Proficiency in Databricks and Databricks SQL for data pipeline development.
• Python, PySpark, and T-SQL for managing and transforming data.
• Azure DevOps, Azure Synapse, and Power BI for efficient development and deployment.
• Experience with SSIS and Azure Data Factory is desirable.

Desired Skills and Experience:

• 3+ years of experience working with cloud technologies, ideally Azure.
• A solid foundation in ETL processes, data warehousing, and data architecture.
• Strong communication skills, able to work with both technical teams and business stakeholders.
• Passion for innovation, continuous learning, and adapting to new technologies.

If you are excited about data engineering, cloud platforms, and want to make a direct impact through your work, apply today!