Senior Data Engineer

How is this team contributing to the vision of Providence

Providence is committed toimprovethe caregiverand patient experience through simplification, modernization, and innovation. The Clinical Technology Services (CTS) Data Engineering and Analytics team is key to this mission, focusing on modernizing our analytical data platform. This team enhances our analytical capabilities and prepares vital data frameworks for enterprise contact centers, service transformation, clinical operations, and clinical engineering devices. Byleveragingdata-driven insights, the team plays a critical role in advancing continual service improvement and supporting Providence's mission.

Our Team Culture:

• Collaborative Environment: We foster a work atmosphere that emphasizes teamwork, continuous learning, and the freedom to explore and experiment withnew ideas.

• Empowerment: We believe in empowering both individuals and teams, providing them with the support and resources needed to reach their full potential and excel in their roles.

• Data-Driven Approach: Our decision-making process is anchored in data, guiding us in shaping our product vision and roadmap to ensure we deliver impactful solutions.

What will yoube responsible for

• Collaboration: Work closely with Product Owners, Analysts, and Data Scientists to understand therequirementsand translatetheminto effective technical solutions.

• DataPlatform/Pipeline Development: Design, build, andmaintainscalable data pipelines to support efficient ETL (Extract, Transform, Load) processes, integrating data from diverse sourcesto buildour analytics data platform/lakehouse.

• Data Visualization and Reporting:Develop and implement data visualizations/reports. Establish a comprehensivePowerBI-based reporting framework to effectively narrate the story behind data.

• Security Implementation: Implement and continuouslymonitorsecurity measures to safeguard our datalakehouseand analytics environments.

• Optimization: Continuously improve andoptimizedata pipelines and storage solutions to enhance performance and cost-efficiency.

Who are we looking for

• Experience: 2-5 years of hands-on experience as a Data Engineer,preferablyworking with the Microsoft Azure cloud platform.

• Technical Skills: Proficient with the Azuredata stack, including Azure Databricksor Snowflake,ADLS Gen2 - Lakehouse, Azure Data Factory,SQLServerand Power BI.

• Data Expertise: Strong understanding of data modeling concepts and database design principles.

• Programming Skills: Skilled in Python, SQL, or Scala for data manipulation and transformation.

• DevOps Knowledge: Strong understanding ofDevOps practices.

• Communication Skills:Excellent interpersonal, verbal, and written communication skills.

• Problem Solving: Capable of effectively troubleshooting and resolving complex data-related issues.

• Education: A Bachelor's orMaster's degree in Computer Scienceor a related field.