обновлено 14 дней назад
Staff Data Engineer (Healthcare)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (Databricks/Azure/Healthcare): Designing and scaling a governed cloud-native lakehouse platform and analytics-ready data products for clinical, operational, financial, and machine learning workloads with an accent on Databricks, Microsoft Fabric, dbt, Python, and healthcare data compliance. Focus on architecting batch and streaming pipelines, securing PHI with HIPAA-aligned access patterns, improving platform reliability and cost efficiency, and leading technical standards across teams.
Location: Remote, United States; 100% remote with ET or CT work hours preferred
Company
is a kidney care management company partnering with physicians to improve healthcare delivery and patient outcomes.
What you will do
- Design and evolve a scalable, secure, cloud-native lakehouse platform using Databricks, Microsoft Fabric, Azure, and dbt.
- Define data modeling, governance, engineering, lineage, metadata, observability, and quality frameworks.
- Build batch and streaming pipelines for EHR, claims, HL7/FHIR, API, flat-file, and database sources.
- Produce analytics-ready datasets and models for BI, analytics, and machine learning workloads.
- Architect Databricks workloads for reliability, performance, security, and cost efficiency, including Unity Catalog and Delta Lake.
- Lead cross-functional initiatives, mentor engineers, guide platform strategy, and partner with clinicians, analysts, data scientists, product managers, and business stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 7+ years of data engineering experience, including 2+ years at senior or staff level.
- Deep hands-on experience with Databricks, Spark, Delta Lake, dbt, Python, Data Factory, Lakehouse, and OneLake.
- Experience designing and operating large-scale cloud data platforms, preferably on Azure, with distributed processing, CI/CD, infrastructure as code, and platform reliability practices.
- Experience in healthcare data, HIPAA-regulated environments, and secure handling of PHI.
- Strong technical leadership, mentorship, communication, architecture, and cross-functional collaboration skills.
Nice to have
- Experience implementing and supporting Epic integrations using Cogito Cloud and Caboodle data models.
- Experience delivering incremental data pipelines from Caboodle and Clarity.
Culture & Benefits
- Fully remote work arrangement within the United States.
- Mission-driven work focused on improving patient outcomes in kidney care.
- Values centered on compassion, collaboration, humility, joy, accountability, and inclusion.
- Opportunity to shape long-term data platform strategy and raise engineering standards across the organization.
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