Staff Data Engineer

🕒 February 26

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 55%

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Interwell Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🧘 Wellness

💰 $46M Series B on 2021-04

Healthcare • 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

• Report to the Director of Data Engineering • Design and evolve a scalable, secure, cloud-native lakehouse platform using Databricks, Microsoft Fabric, and dbt • Define data modeling patterns, governance frameworks, and engineering best practices • Lead design reviews and guide adoption of scalable architectural patterns • Drive platform strategy and evaluate emerging technologies • Design and implement batch and streaming pipelines for EHR, claims, HL7/FHIR, APIs, flat files, and databases • Develop ingestion, data quality, lineage, metadata, and observability frameworks • Produce analytics-ready datasets and models for BI, analytics, and machine learning • Implement HIPAA-aligned access patterns and secure PHI handling • Architect Databricks workloads 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 • Lead cross-functional initiatives modernizing and unifying the data ecosystem • Mentor senior and mid-level engineers through technical coaching and standards • Drive roadmap planning, platform evolution, and long-term data strategy • Champion engineering excellence, reliability practices, documentation, 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 large-scale cloud data platforms; Azure preferred • Hands-on experience with Data Engineering, Data Factory, Lakehouse, and OneLake • Advanced data platform architecture and Lakehouse design expertise • Ability to design modular, extensible frameworks and guide enterprise data platform evolution • 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 cross-team influence • Strong communication skills with technical and clinical stakeholders • Experience with platform reliability, CI/CD for data pipelines, and infrastructure as code • Experienced in implementing and supporting Epic integrations, Cogito Cloud, Caboodle data models, and incremental Caboodle/Clarity data pipelines (preferred)

🏖️ Benefits

• 100% remote work • ET or CT work hours preferred • Mission-driven, inclusive workplace • Diversity, equity, and inclusion commitment