Okay, I’ve searched for Data Engineer roles in Salt Lake City, specifically full-time positions that require 3-5 years of experience with ETL processes and a salary expectation of at least $81,400. I found 42 relevant positions for you to explore.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer role at Locumsmart is fundamentally about harnessing data to drive insights and efficiencies in the healthcare staffing industry. This position is critical as it contributes to the Enterprise Data Strategy by developing ETL processes and data models aimed at enhancing the Locumsmart SaaS platform's capabilities. Responsibilities range from implementing ETL solutions using tools like Fivetran and Snowflake to collaborating with various stakeholders such as project managers and product managers, encapsulating the need for cross-functional coordination. Given the company's emphasis on agile project delivery, the ability to prioritize and translate complex data needs into actionable solutions is paramount. The ideal candidate will likely face challenges in ensuring high data quality while navigating the complexities of integrating various data sources. Success in this role is typified by the creation of robust data pipelines that streamline processes and enhance reporting capabilities, ultimately influencing key business decisions within healthcare recruitment.

Company Analysis:

CHG Healthcare occupies a unique position in the healthcare staffing industry, being the largest provider of locum tenens services. This prominent market position suggests a highly competitive and innovative environment, ideal for individuals who thrive on growth and development. The company's culture is evidently centered on 'Putting People First', which translates into a collaborative, employee-centric workspace that values work-life balance and community engagement. Such a culture not only supports individual well-being but also encourages teamwork and knowledge-sharing, important aspects for a Data Engineer tasked with aiding team members and aligning with broader organizational goals. Within the organizational structure, this role is likely to be pivotal in the Data Platform team, suggesting a degree of visibility with leadership and the potential for strategic input in decision-making processes. Furthermore, as CHG is continually looking to enhance its technological offerings in a competitive market, this role appears to be essential not only for day-to-day operations but also for long-term strategic initiatives pertaining to data-driven healthcare solutions.

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

• Tell me about a time when you had to develop a complex ETL process. What were the key challenges you encountered and how did you overcome them?
• Describe an experience where you mentored a team member. What approach did you take to help them understand the technical concepts?
• Can you provide an example of a time when you had to prioritize multiple data projects? How did you decide which tasks to address first?
• How do you ensure the quality of data outputs when working on data models? Can you walk me through your self-QA process?
• What specific experience do you have with Fivetran, dbt, and Snowflake? How have you applied these tools in past projects?
• What strategies do you use to create efficient data pipelines in an agile environment?
• How would you approach incorporating new data requirements from product managers within a sprint cycle?
• Imagine you are faced with a situation where data quality is significantly impaired due to erroneous inputs from a source system. How would you handle this?
• If tasked with building a new reporting feature for stakeholders, how would you gather requirements and ensure they are met?
• Why are you interested in working at CHG Healthcare specifically, and how does your background align with our mission?
• How do you see your values aligning with CHG's commitment to Putting People First in your role?
• What aspects of CHG Healthcare’s company culture resonate with you and why?
• Can you describe a time when you had to adjust a project due to feedback from leadership or peers? What did you learn from that experience?