Okay, I've searched for full-time Data Transformation Engineer roles in Dallas, TX within Healthcare IT, requiring a Bachelor's degree and skills in HL7 and SQL. I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Transformation Engineer role at Lightbeam is fundamentally about enabling seamless, accurate, and compliant data flows within healthcare IT systems, specifically focused on transforming and normalizing complex healthcare data such as HL7 and CCD formats. The candidate is expected to possess a deep technical proficiency in healthcare data standards and programming languages (Java, JavaScript, Groovy, XML, XSLT, SQL/Postgres) because these enable the customization and troubleshooting of data interfaces critical to population health management solutions. This role is highly collaborative, requiring cross-functional teamwork both internally and with external partners, to manage support tickets, resolve interface issues, ensure data integrity and validation, and uphold project schedules. Strong communication and customer-facing skills are emphasized, reflecting the need to translate technical details into actionable insights for both technical and non-technical stakeholders. Problem-solving is continuous with a focus on risk management linked to data transmission errors. Success in this role means reliably delivering data transformation solutions that help Lightbeam’s offerings, like CareSignal, operate flawlessly in complex, regulated healthcare environments, directly impacting client satisfaction and patient care outreach. The role demands agility, attention to detail, and a readiness to embrace evolving technologies and processes tied to healthcare IT and population health.

Company Analysis:

Lightbeam Health Solutions is positioned as an innovative player in the healthcare technology space, specifically focusing on population health management through solutions like CareSignal, which enables deviceless remote patient monitoring. This niche places Lightbeam in a growth-oriented, innovation-driven environment where technology furthers better patient engagement and scalable healthcare delivery. The company's culture likely values agility, cross-disciplinary collaboration, and patient-centered innovation, which means the Data Transformation Engineer must be adaptable, proactive, and comfortable working in a fast-evolving technical and regulatory landscape. Given Lightbeam’s focus on integrating complex healthcare datasets and partnering with payors and providers, this role has considerable influence on product success and customer satisfaction. The company seems to foster a team-based approach with a strong orientation toward solving real-world clinical problems via technology, which implies that the engineer will have visibility into both strategic and operational discussions. Overall, this is a strategic hire aimed at maintaining and scaling the integrity and reliability of Lightbeam’s data interfaces, critical to delivering their remote patient monitoring and care management solutions effectively in a tightly regulated healthcare market.

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

• Tell me about a time when you had to troubleshoot and resolve a complex data interface issue involving HL7 or CCD data formats. What steps did you take and what was the outcome?
• Describe how you have managed competing priorities from different stakeholders when working on data transformation projects. How did you ensure deadlines were met without sacrificing quality?
• Give an example of how you explained a complex technical data issue to a non-technical customer or partner. How did you ensure understanding and alignment?
• Can you talk about a situation where you had to embrace a significant change or new technology in your role? How did you adapt and what was the impact?
• How would you approach designing and implementing a new interface mapping for integrating disparate healthcare data sources involving HL7, JSON, and SQL databases?
• What strategies do you use to monitor ongoing data transmissions for errors? How do you prioritize and communicate issues to both internal and external teams?
• Explain your experience with risk management related to data transformations and interface implementations in healthcare IT. How do you proactively minimize client impact?
• Walk me through your process for validating data transformations and handling discrepancies reported by customers.
• Imagine a partner escalates a persistent data transformation error that your initial fix did not resolve. How would you handle this escalation and work towards resolution?
• If you found a discrepancy between client-reported data issues and your internal validation reports, how would you address this conflict?
• Why are you specifically interested in working with Lightbeam and their CareSignal solution in the remote patient monitoring space?
• How do you see your role contributing to Lightbeam’s mission of scaling care management and engaging more patients?
• Given Lightbeam's focus on population health management and changing healthcare regulations, how do you stay current with industry standards and ensure compliance in your work?
• What do you believe are the key challenges unique to data transformation roles in healthcare IT compared to other industries?
• What questions do you have about the Data Transformation Engineer role, the team you’d be working with, or Lightbeam’s long-term product roadmap?