Okay, I've searched for remote Data Integration Engineer roles in Denver, CO, requiring Python and SQL skills, with 2+ years of experience, and full-time schedules. I have found 57 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Integration Engineer role is fundamentally designed to ensure the seamless, secure, and timely flow of data across a complex ecosystem involving multiple databases, APIs, and cloud environments. This involves architecting and maintaining scalable ETL/ELT pipelines that can handle high volumes and diverse data formats, which is crucial for enabling business intelligence and analytics teams to derive actionable insights. The candidate will regularly collaborate across functional teams, including data engineers, analysts, and business stakeholders, requiring strong communication and a keen understanding of varied data needs. The technical proficiency in SQL, Python scripting, cloud platforms (AWS, Azure, or GCP), and API integrations suggests the role operates at the intersection of data engineering and system integration. Attention to data governance, security, and compliance indicates the firm handles sensitive or regulated data, thus necessitating meticulousness. Success in this role means not only delivering robust, well-documented pipelines but also being proactive about monitoring, troubleshooting, and automating data workflows to reduce manual overhead. Given this is a remote position, the candidate must be adept at self-management and cross-team collaboration in a virtual environment, which adds an additional layer of complexity related to coordination and communication. Overall, the role requires a blend of hands-on technical capability, strategic thinking about data flows, and the soft skills to function effectively in a distributed, detail-oriented team.

Company Analysis:

Stella Contracting, Inc. is a long-established, nationally recognized home remodeling and renovation company with over 60 years of service in the Plymouth, MI area and surrounding counties. Positioned as a premium service provider focusing on kitchen and bath remodeling, home additions, and aging-in-place solutions, the company emphasizes craftsmanship, stress-free customer experiences, and clear communication, supported by multiple industry awards and certifications. Though the hiring location is Denver, CO, Stella’s legacy and brand values reflect a company culture grounded in quality, respect for the customer journey, and reliability rather than rapid tech-driven disruption. This indicates that the Data Integration Engineer role, while technical, is embedded in a traditionally non-tech sector that is undergoing digital transformation to streamline operations and improve data-driven decision-making. The company’s values around clarity and reducing customer stress likely translate internally to a work culture valuing transparency, precision, and collaboration, albeit potentially in a slower-paced or more methodical setting compared to startups. The candidate can expect to be a critical enabler of operational efficiency and data reliability that supports the company’s trusted remodeling services—making this a strategic hire aimed at modernizing data capabilities and strengthening analytics-backed business functions. Because Stella is established yet evolving, the role might offer visibility across departments but may also require navigating legacy systems and careful stakeholder management to implement new data solutions smoothly.

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

• Tell me about a time when you had to design a data integration pipeline that involved multiple data sources with different formats. How did you approach the challenge?
• Describe an instance when you identified and resolved a critical data quality or connectivity issue. What steps did you take to troubleshoot and fix it?
• How have you managed communication and collaboration with remote or cross-functional teams to ensure data integration projects met business requirements?
• Explain how you prioritize security and compliance considerations when designing data workflows, especially dealing with sensitive information.
• Walk me through your experience with ETL/ELT tools like Apache Airflow, Talend, or Informatica. Which have you found most effective in building scalable pipelines and why?
• How do you approach automating data transformation and delivery processes to support business intelligence needs?
• Can you describe your familiarity with cloud platforms such as AWS, Azure, or Google Cloud in the context of data integration? How have you leveraged these environments effectively?
• Imagine you are tasked with integrating a new data source via API, but the data format documentation is incomplete and unreliable. How would you handle the situation?
• If monitoring reveals intermittent failures in a critical data pipeline, what diagnostic steps would you take to quickly identify and resolve the problem?
• Suppose a business stakeholder requests a rapid change to a data integration workflow that conflicts with existing data governance policies. How would you manage this conflict?
• What excites you about working as a Data Integration Engineer for a company in the home remodeling industry like Stella Contracting, and how do you see your skills contributing to this type of business?
• Stella Contracting values a stress-free, transparent customer experience. How would you translate this value into your role working behind the scenes with data and integration?
• How do you stay updated on evolving technologies and best practices in data integration and governance?
• Based on your understanding of Stella Contracting as an established yet evolving company, how would you approach introducing new data technologies to ensure adoption and minimal disruption?
• What questions do you have about the data teams, tools, or company culture here at Stella Contracting?