Staff 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

• Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks, Microsoft Fabric, and dbt.
• Define modeling patterns, governance frameworks, and engineering best practices across the data lifecycle.
• Lead design reviews and guide teams in adopting scalable architectural patterns.
• Drive long-term platform strategy and evaluate emerging technologies.
• Design and implement batch and streaming data pipelines for healthcare data sources.
• Develop modular ingestion, quality, lineage, metadata, and observability frameworks that scale across domains.
• Produce clean, analytics-ready datasets and data models for BI, analytics, and machine learning workloads.
• Implement HIPAA-aligned access patterns and secure handling of PHI.
• Architect Databricks workloads for reliability, performance, and cost efficiency.
• Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in data engineering.
• 2+ years operating in a senior or staff level engineering role.
• Deep hands-on proficiency with Databricks, Spark, Delta Lake, dbt, and Python.
• Proven ability to design and operate large-scale cloud data platforms (Azure preferred).
• Hands-on experience with Data Engineering, Data Factory, Lakehouse, OneLake.
• Advanced data platform architecture and Lakehouse design expertise.
• Demonstrated ability to design modular, extensible frameworks.
• Strong command of distributed data processing and cloud native engineering.
• Experience working in HIPAA regulated environments and handling PHI.

Benefits

• 100% remote (ET or CT work hours preferred).