I've found 142 Data Engineer roles in the Dallas/Fort Worth area matching your criteria: expertise in SQL, Python, and ETL development, with a preference for hybrid/remote work and requiring over 5 years of experience. You can check the listings now.

Sure. Here's the analysis:

Job Analysis:

The Data Engineer role at Pilot Thomas Logistics is fundamentally about developing and managing the enterprise's data infrastructure, ensuring it is scalable, reliable, and optimally configured for data-driven decision-making. The position requires the candidate not only to have a robust technical foundation in SQL, Python, and ETL development, but also a strong ability to lead initiatives in a collaborative environment. Candidates will face challenges such as integrating various data sources, ensuring data quality, and designing advanced analytics that aligns with business objectives. Success in this role will likely be measured by the efficiency of the data systems implemented, the quality of insights generated through reporting tools like Power BI, and the ability to streamline operations via automation and AI technologies while mentoring junior staff to solidify team capabilities.

Company Analysis:

Pilot Thomas Logistics is a seasoned player in the logistics sector with over 71 years of industry expertise, establishing itself as a premier provider of fuel and lubricants across several markets including Energy and Marine. This strong market position reflects the company’s commitment to quality and outstanding customer service. The culture within Pilot Thomas Logistics promotes their PTL PROUD values—passion, responsibility, outstanding service, unity, and dependability—which fundamentally drive their operations and employee interactions. This value system suggests a work environment that is collaborative and supportive, pivotal for a Data Engineer who must work cross-functionally with multiple teams. The Data Engineer will likely report to a Program Manager within a growing technology team, granting them both visibility and the opportunity to substantially impact core business operations. Strategically, this role is integral to enhancing operational efficiency through cutting-edge data solutions, reflecting a growth-focused hiring initiative aimed at reinforcing data-driven decision-making.

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

• Tell me about a time when you had to manage a challenging data integration project. What was your approach?
• Can you describe how you've implemented an ETL pipeline in a previous role and what challenges you faced?
• Share an experience where you had to mentor a less experienced team member. How did you ensure their growth?
• Give an example of a time you had to provide data insights that directly influenced business decisions. What was the outcome?
• How would you approach building a scalable ETL pipeline for large datasets in an AWS environment?
• What strategies do you use to optimize database performance in high-traffic scenarios?
• Can you walk us through your process for creating dashboards in Power BI, from concept to deployment?
• Imagine you have limited access to documentation on an existing data architecture. How would you work to understand and document it?
• At Pilot Thomas Logistics, we value dependability. Can you provide an instance where you had to ensure your work met high integrity and quality standards?
• What draws you to Pilot Thomas Logistics specifically and how do you see your values aligning with our company culture?
• How do you keep up with the latest trends in data engineering, particularly in relation to AI technologies?
• What questions do you have for us regarding the team structure and support for this role?
• Can you describe your experience with data governance and how you would implement those practices in our organization?
• How familiar are you with DevOps practices and how have they influenced your previous work in data engineering?
• What has been your experience with using cloud services for data storage and processing, and which platforms do you prefer?