Okay, I've searched for Data Engineer roles in Newport Beach, CA, full-time positions requiring 5+ years of experience, with skills in SQL, AWS, and Apache Spark. I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Engineer role is fundamentally about architecting and sustaining robust, scalable data infrastructure that empowers RIS Rx’s healthcare technology solutions. The candidate is expected to handle complex, large-scale data environments—both structured and unstructured—ensuring high performance, reliability, and security. The emphasis on AWS cloud tools like S3, Glue, Lake Formation, and related services indicates the company’s commitment to leveraging modern cloud-native architectures for data lakes and pipelines. The role’s linkage to machine learning model training and real-time data processing highlights a strategic expectation to support advanced analytics and operational decision-making in near real-time. Deep technical proficiency in SQL/PostgreSQL, big data frameworks like Apache Spark, plus coding skills in Python and Golang, goes beyond standard ETL tasks; it requires a versatile engineer capable of designing end-to-end data solutions that enable data scientists and product teams to extract meaningful insights rapidly. Additionally, knowledge of infrastructure as code tools (Terraform/Pulumi) reveals a need for automation mindset and scalability in deployment. The candidate must be comfortable navigating a fast-paced, agile environment, collaborating cross-functionally with engineering and data science teams while maintaining high data governance and security standards. Success in this position means delivering reliable, optimized data pipelines that directly enhance the company’s ability to innovate in patient access and healthcare affordability solutions.

Company Analysis:

RIS Rx operates in a specialized niche at the intersection of healthcare and technology, focusing on improving patient access and affordability through software innovation. As a market leader in Gross-to-Net optimization and patient-centric healthcare services, RIS Rx embodies a mission-driven culture that values innovation, service excellence, and measurable impact on healthcare outcomes. This company moves quickly to solve complex industry challenges such as revenue leakage and compliance requirements, which necessitates a dynamic, technologically advanced approach in its teams. For a Data Engineer, this environment offers the opportunity to engage with meaningful, high-impact projects that not only advance healthcare technology but also touch real patient experiences. The organization’s focus on data quality, governance, and security fits well with industry regulatory expectations, reflecting a mature operational stance. Being part of a relatively lean but growth-minded technology team reporting to senior engineering management suggests a blend of autonomy and visibility, requiring someone who can self-manage technical delivery while aligning closely with broader strategic goals. The emphasis on cloud technologies and agile methodology further suggests a culture of continuous improvement and adaptability, where the right candidate will thrive by being proactive, collaborative, and technically versatile.

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

• Behavioral: Tell me about a time when you had to troubleshoot a complex data pipeline failure. How did you identify the root cause and ensure minimal downtime?
• Behavioral: Describe an instance where you had to collaborate with data scientists and software engineers to support a machine learning project. What challenges did you face and how did you overcome them?
• Behavioral: Share a situation where you implemented data governance or security best practices in a previous role. How did you balance compliance with system performance?
• Behavioral: Explain how you manage competing priorities and work under pressure in a fast-paced agile environment.
• Technical: Walk me through your process for designing an ETL pipeline for integrating large, varied healthcare datasets using AWS tools.
• Technical: How have you optimized PostgreSQL databases for performance at scale? Can you provide specific examples of indexing, partitioning, or query tuning you've performed?
• Technical: What strategies do you use to build reliable real-time data streaming solutions? How would you decide between AWS Kinesis and Apache Kafka?
• Technical: Describe your experience with infrastructure as code tools like Terraform or Pulumi. How have they impacted your ability to deploy and maintain data infrastructure?
• Situational: Imagine a data quality issue is discovered late in a data lake ingestion process that affects downstream analytics. How would you investigate and resolve the problem without significant disruption?
• Situational: You're asked to onboard a new data source with sensitive patient information. How do you ensure compliance with data privacy and security policies while integrating it into the existing data platform?
• Situational: Consider a scenario where cross-functional teams disagree on data definitions and governance standards. How would you facilitate alignment and maintain data integrity?
• Company Fit: Why does RIS Rx’s mission to improve patient access through technology resonate with you, and how does it influence your approach to data engineering?
• Company Fit: How do you see your technical skills contributing to RIS Rx’s goal of reducing waste and revenue leakage in the healthcare continuum?
• Company Fit: What appeals to you about working in a fast-paced, innovative healthcare technology environment like RIS Rx?
• Questions for Interviewer: Can you describe the typical project lifecycle for data engineering initiatives at RIS Rx and how cross-team collaboration is structured?
• Questions for Interviewer: How does RIS Rx measure success for this Data Engineer role in the first 6 to 12 months?
• Questions for Interviewer: What are the biggest technical challenges the current data engineering team is facing, and how might this role help address them?