Staff Data Engineer

🕒 February 26

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Interwell Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

⚕️ Healthcare Insurance

🧘 Wellness

💰 $46M Series B on 2021-04

Healthcare Insurance • Wellness

Interwell Health is a value-based kidney care provider that partners with physicians to revolutionize healthcare. The company focuses on offering expertise, compassion, and innovative strategies to set high standards within the kidney care industry. Interwell Health aims to slow disease progression and reduce hospitalizations, resulting in improved health outcomes and lower care costs for patients and payers. It has achieved NCQA Population Health Program Accreditation for its comprehensive patient engagement program, Interwell 360. With a decade of experience, Interwell Health manages financial risks and patient needs through a dual approach of patient care and provider enablement. The company collaborates with nephrologists, primary care providers, and payers, supported by a vast network of clinical and non-clinical staff dedicated to patient health.

📋 Description

• Design and evolve a scalable, secure, cloud-native lakehouse platform leveraging Databricks, Microsoft Fabric (OneLake, Lakehouse, Data Factory), 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 (EHR, claims, HL7/FHIR, APIs, flat files, databases). • 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 (clusters, jobs, Unity Catalog, Delta Lake) for reliability, performance, and cost efficiency. • Integrate Databricks and Microsoft Fabric with Azure services and enterprise systems. • Partner with product managers, data scientists, analysts, clinicians, and business stakeholders to translate healthcare data needs into scalable solutions. • Lead cross-functional initiatives that modernize and unify the organization’s data ecosystem. • Mentor senior and mid-level engineers; elevate team capability through technical coaching and standards. • Drive roadmap planning, platform evolution, and long-term data strategy. • Champion engineering excellence, reliability practices, documentation quality, and governance.

🎯 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 largescale cloud data platforms (Azure preferred). • Hands-on experience with Data Engineering, Data Factory, Lakehouse, OneLake. • Advanced data platform architecture and Lakehouse design expertise. • Strong command of distributed data processing and cloud native engineering. • Experience working in HIPAA regulated environments and handling PHI. • Healthcare data fluency, including regulated data handling and compliance. • Technical leadership, mentorship, and influence across teams. • Strong communication skills with both technical and clinical stakeholders. • Experience with platform reliability, CI/CD for data pipelines, and infrastructure as code.

🏖️ Benefits

• Health insurance • Flexible working hours