Data Engineer at Interwell Health

I
Interwell Health

Data Engineer

Remote

Full Time

#Technology

#Data Engineering

#SQL

#Azure

#Python

#Databricks

Interwell Health is looking for a Data Engineer

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Interwell Health is a dedicated kidney care management organization that collaborates closely with physicians to transform the healthcare landscape. We combine deep clinical expertise, significant scale, and a compassionate vision to establish new industry standards that empower patients to live their best lives. Our team is driven by a shared mission to create better ways of doing things, and we are looking for a Senior Data Engineer to join us in this pursuit. This is a full-time, remote position open to candidates located anywhere.

Key outcomes

  • Manage corporate claims data acquisition, file loading, and the development of robust data structures.
  • Design, develop, and maintain our Enterprise Data Warehouse databases, including the creation of algorithms and flowcharts.
  • Collaborate with development teams to ensure projects are delivered effectively and meet client expectations on schedule.
  • Provide technical mentorship to junior team members regarding development methodologies, frameworks, and project workflows.
  • Assist with schema design, SQL query tuning, and the deployment of SQL code.
  • Monitor and troubleshoot data pipelines to identify and resolve performance bottlenecks or data anomalies.
  • Research and implement process improvements to drive innovation within the Data Architecture group.
  • Create comprehensive documentation to ensure seamless project handovers and knowledge sharing.

Requirements

  • A bachelor’s degree with 3 to 5 years of relevant experience in data engineering, or a master’s degree with 3 years of experience.
  • Extensive experience with the Microsoft SQL stack, including SSIS and Azure Data Factory.
  • At least 5 years of experience working with Azure databases and cloud migration projects.
  • 3 to 5 years of hands-on experience utilizing Databricks and Azure Data Factory pipelines.
  • Proficiency in Python and a strong command of SQL.
  • Solid understanding of data lake and Lakehouse architecture principles, data modeling, and warehousing concepts.
  • Strong communication and presentation skills, with the ability to lead requirement-gathering workshops and feedback sessions.
  • Proven ability to deliver high-quality work under tight deadlines.
  • Fluency in English.

Compensation

We offer the flexibility of a remote work environment as part of our commitment to our team members.

How to apply

If our mission to reinvent healthcare resonates with you, we encourage you to apply. We value diverse perspectives and unique journeys, so please reach out even if you do not meet every listed requirement. We look forward to reviewing your application and potentially welcoming you to our team.

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Interwell Health

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