Okay, I've searched for Data Engineer III roles in Alhambra, CA, offering remote work options, requiring a Bachelor's degree in Computer Science or related fields, with 4+ years of experience and skills in Python and SQL. I have found 74 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer III at Astrana Health is fundamentally tasked with designing, building, and maintaining high-quality, scalable data models that serve a diverse set of internal and external stakeholders. This role requires transforming and unifying complex healthcare data—such as claims, EHR, ADT, and FHIR data—into trustworthy data products that drive decision-making and strategic initiatives. The emphasis on collaboration with product teams, software engineers, and clinical leaders highlights the need for strong cross-functional communication and stakeholder management, ensuring data solutions align with business and clinical needs. A key challenge involves not only technical proficiency but also a deep curiosity to understand data context, anticipating how data will be consumed downstream, and proactively resolving quality issues before they escalate. Success in this role means delivering transparent, available, and well-documented data assets that empower innovation and operational excellence. The role also demands comfort working in cloud environments like AWS, GCP, or Azure, alongside modern data engineering tools such as Databricks, Python, Spark, and SQL. Experience with data modeling paradigms including normalized, dimensional, star schema, and snowflake schema models illustrates the strategic importance of adaptable data architecture in supporting complex healthcare analytics. Additionally, familiarity with data contracts and integration from acquisitions underscores the role’s contribution to scalable, enterprise-wide data governance and consolidation efforts. Autonomy and sound judgment are required for navigating ambiguity in clinical and technical landscapes, while maintaining data integrity and alignment with company values centered on patient outcomes and provider empowerment.

Company Analysis:

Astrana Health operates in the highly specialized and fast-evolving healthcare technology sector, focusing on enabling providers to deliver high-quality, value-based care through integrated technology solutions. Positioned as a provider-centric and technology-powered company, Astrana acts as an enabler for providers participating in value-based care models, managing a vast network of providers and patient lives under this umbrella. This positioning places the company at the intersection of healthcare delivery and digital innovation, demanding a culture that is mission-driven (patients first), innovative, and integrity-focused. For a Data Engineer III, this means entering an environment that prizes excellence and empowerment—not only in technology but also in the impact on healthcare outcomes and provider autonomy. The company’s structure involving subsidiaries like MSOs, IPAs, and ACOs hints at complex operational and data integration challenges, pointing towards the strategic importance of this role in harmonizing datasets across multiple entities and systems. Team dynamics likely require strong collaboration across technical and clinical domains, where the Data Engineer serves as a critical node facilitating data accessibility and reliability. Being headquartered in Alhambra with remote work options suggests a balance between localized culture and flexible, modern work practices. Strategically, this role supports Astrana’s growth and scalability goals by underpinning advanced analytics capabilities and data productization, essential for sustaining innovation in a competitive healthcare environment. Ultimately, candidates who align with Astrana’s patient-first mindset and thrive in complex, mission-driven, and data-intensive atmospheres will find a meaningful and impactful place here.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to integrate disparate healthcare data sources into a unified data model. What challenges did you face, and how did you overcome them?
• Describe an instance where you identified and proactively addressed data quality issues. How did your intervention impact data consumers?
• Can you share an example of a project where you collaborated closely with product teams and clinical stakeholders? How did you ensure your data solutions met their needs?
• How do you stay current with data engineering best practices, especially when working with rapidly evolving cloud-based tools and healthcare data standards?
• Explain your approach to designing data models that are intuitive and trusted by diverse stakeholders. What methodologies or frameworks do you apply?
• How would you implement and enforce data contracts with software engineering teams to ensure consistency and reduce redundancy in data queries?
• Given that Astrana manages multiple acquisitions, how would you approach integrating new data sources from an acquired company into the existing unified data platform?
• Imagine you encounter inconsistent or missing critical data affecting downstream analytics. What steps would you take to resolve this issue while minimizing impact on ongoing projects?
• If asked to optimize data pipelines running on Databricks for scalability and cost efficiency, what strategies would you consider?
• Why are you interested in working at Astrana Health, and how do you feel your skills align with our mission to empower independent providers and improve patient outcomes?
• Astrana values innovation and integrity—can you describe how you embody these values in your work as a data engineer?
• How do you manage communication and expectations across cross-functional teams when priorities or technical constraints conflict?
• What motivates you about working in the healthcare sector, particularly in value-based care models?
• Based on what you know about Astrana, how would you approach balancing the technical demands of your role with the company’s patient-first and provider-empowerment values?
• What questions do you have for us about the data engineering team’s current challenges and opportunities here at Astrana?