Motion Recruitment | Jobspring | Workbridge

Cloud Data Engineer (Tulsa, OK)

Tulsa, Oklahoma

Onsite

Full Time

$107k - $142k

Are you passionate about working with data and cloud technologies? We are looking for a skilled Cloud Data Engineer to join our team and help us scale and optimize our data infrastructure. You will be responsible for designing, building, and managing end-to-end cloud data solutions on Azure, working with cutting-edge tools and technologies like Databricks to help shape the future of our data processes.

Key Responsibilities:

  • Develop and maintain data solutions: You’ll design, deploy, and optimize cloud-based data systems in Azure, leveraging Databricks and other Azure services.

  • Build end-to-end data pipelines: Collaborate with various teams to create efficient, automated pipelines that integrate, transform, and prepare data for analytics.

  • Continuous improvement: Ensure the performance, security, and scalability of the data systems. Contribute to the development of best practices and standards.

  • Data quality and reliability: Monitor data quality and ensure solutions are performing at peak efficiency.

Key Technologies:

  • Databricks: Develop data pipelines using Databricks and Databricks SQL to enable seamless data transformation and analytics.

  • Programming: Expertise in Python, PySpark, and T-SQL to handle data processing tasks.

  • Azure tools: Use Azure DevOps, Azure Synapse, and Power BI for effective management, deployment, and visualization of data solutions.

  • Bonus: Familiarity with SSIS and Azure Data Factory is a plus.

Desired Skills and Experience:

  • Cloud experience: At least 3 years working with cloud technologies, preferably in Azure.

  • Data architecture: Strong understanding of ETL processes, data warehousing concepts, and modern data architectures.

  • Collaboration skills: Ability to communicate complex technical concepts clearly to both technical teams and business stakeholders.

  • Innovative mindset: A passion for learning new technologies and continuously improving data systems.

If you’re excited about shaping the future of data engineering and working with cutting-edge cloud technology, we encourage you to apply!

Posted by: Rachel Ruzumna

Specialization: Data Engineering