Okay, I've searched for Microsoft Fabric Data Engineer roles in Rochester, NY, requiring 5+ years of experience with skills in Python and Azure Data Factory, for full-time positions. I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Microsoft Fabric Data Engineer role at CaseWorthy is fundamentally about architecting robust, scalable data infrastructures that empower the organization and its customers to convert complex data into actionable intelligence. This position requires deep technical expertise in designing, implementing, and optimizing ETL/ELT pipelines using Microsoft Fabric and Azure Data Factory alongside strong scripting skills in Python, JavaScript, and PowerShell. The role is not just about coding; it's about creating reliable, compliant, and high-performing data workflows in an environment where data is central to supporting Social Services agencies. Candidates will need to solve challenges around data quality, system integration, and performance tuning while ensuring security and regulatory compliance—vital given the sensitive nature of health and human services data. Success means delivering seamless data solutions that enhance decision-making and operational efficiency, while also translating technical complexity into accessible insights for non-technical stakeholders. The need for collaborative cross-team coordination highlights an environment where engineering intersects with product management, client services, and compliance teams, and the ability to handle ambiguity in evolving business needs is key. Given the organization's mission-driven context, the ideal candidate will balance technical mastery with a mindset aligned to social impact and community empowerment.

Company Analysis:

CaseWorthy occupies a unique niche as a leading provider of technology solutions tailored for nonprofits and government agencies in the Health and Human Services (HHS) sector. Unlike broader commercial tech firms, CaseWorthy’s market position is defined by deep domain specialization, an emphasis on whole-person care, and a mission-driven culture focused on improving community health outcomes. The company’s stable yet innovative platform, built on Microsoft SQL Server and responsive architecture, suggests a balance between established technology and forward-looking adaptability. This environment likely fosters a pragmatic, service-oriented culture, with values rooted in collaboration, social impact, and continuous improvement. For a Data Engineer, this means working within a team that values reliability, compliance, and configurability, while embracing iterative development and client customization. The role situates the engineer as a key enabler of the company’s strategic goals—scaling data capabilities to support varied service organizations effectively. It’s a chance to contribute both technically and mission-wise, requiring adaptability, empathy for client needs, and a willingness to engage with cross-functional teams. Given CaseWorthy’s focus on configurable, client-centered software, this role will have considerable visibility and impact across technical and stakeholder groups, driving both product evolution and user success.

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

• Behavioral: Tell me about a time when you had to optimize a data pipeline for both performance and data quality. What steps did you take and what was the outcome?
• Behavioral: Describe an occasion when you had to explain complex technical concepts related to data engineering to a non-technical audience. How did you ensure understanding?
• Behavioral: Can you share an experience where you collaborated across teams to deliver a critical data solution? What were the challenges and how did you address them?
• Behavioral: How do you manage competing priorities and deadlines in a fast-paced data engineering environment?
• Technical: How would you approach designing a scalable ETL pipeline in Microsoft Fabric to integrate various data sources while ensuring compliance with data privacy regulations?
• Technical: Explain your experience with optimizing SQL queries using execution plans. Can you walk us through a specific example?
• Technical: What strategies would you employ to maintain secure and compliant data engineering processes when dealing with sensitive health and human services data?
• Technical: Describe how you would leverage Python, PowerShell, or JavaScript in automating data workflows within Azure Data Factory.
• Situational: Imagine a critical data pipeline you manage fails unexpectedly with no immediate explanation. How do you approach diagnosing and resolving the issue while minimizing downtime?
• Situational: Suppose a stakeholder requests a new complex data integration that conflicts with existing infrastructure constraints. How would you balance technical feasibility with business needs?
• Situational: You identify data discrepancies impacting reports used by multiple clients. How would you handle both the technical fix and communication with affected teams?
• Company Fit/Motivation: What attracts you to CaseWorthy’s mission of supporting whole-person care through technology, and how do you see your role contributing to that mission?
• Company Fit/Motivation: CaseWorthy values collaboration and adaptability in a fast-evolving space. How have you demonstrated these qualities in your prior data engineering roles?
• Company Fit/Motivation: How do you stay current with emerging data engineering tools and practices, particularly within Azure and Microsoft ecosystems?
• Questions for Interviewer: How does the data engineering team collaborate with other departments like product management and client services to prioritize development efforts?
• Questions for Interviewer: What are the biggest data-related challenges CaseWorthy anticipates scaling in the next 12–18 months?
• Questions for Interviewer: How does CaseWorthy support continuous learning and professional development for its technical staff, especially regarding emerging data technologies?