Data Engineer - Remote

Overview

Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare—with the expertise, scale, compassion, and vision to set the standard for the industry and help patients live their best lives. We are on a mission to help people and we know the work we do changes their lives. If there is a better way, we will create it. So, if our mission speaks to you, join us!

In Short

• Collaborates effectively with the development groups to deliver projects to the satisfaction of the client in a timely fashion.
• Maintains current knowledge of the latest and newest technologies in the areas of specific relevancy to the Data Architecture group for utilization as appropriate within the department.
• Assist with schema design, code review, SQL query tuning.
• Write and deploy SQL code.
• Guide and mentor junior teammates acting as a resource with respect to the definition of development processes, methodologies and frameworks.
• Become skilled with the architecture and technology supporting the Datawarehouse.
• Ensure the distribution of knowledge for processes being designed and built within the team.
• Ensure the design of sufficient documentation for easy and smooth hand-over of projects.
• Participate in the formulation and design of methodologies.
• Monitor and troubleshoot data pipelines to identify and resolve performance issues, bottlenecks, and data anomalies.

Requirements

• 3-5 years related experience in data engineering with bachelor’s degree; or a master’s degree with 3 years’ experience.
• Ability to architect simple and complex solutions related to integration with other applications and design.
• Excellent communication skills, both verbal and written.
• Strong presentation skills. Ability to present formally to users and customers during gathering requirements, workshops, and feedback sessions.
• Experience working under tight deadlines while maintaining high product relevance and quality.
• Azure/SQL focus.
• Strong understanding of data lake and Lakehouse architecture principles, data modeling techniques, and data warehousing concepts.
• 3-5 years’ experience using Azure Data Factory pipelines and Databricks.
• 5 years’ experience working with Azure databases.
• Extensive experience with MS SQL stack. (SSIS and ADF).
• Extensive experience with Azure - Cloud migration.
• Python experience.

Benefits

• Mission-driven company focused on healthcare improvement.
• Commitment to diversity, equity, and inclusion.
• Opportunities for personal and professional growth.
• Collaborative work environment.
• Supportive team culture.
• Flexible work arrangements.