Data Engineer

This is a remote position.

• Collaborate with other team members to engineer data outcomes for clients.
• Support a Microsoft Fabric-first approach and medallion architecture.
• Ingest, organize, transform, and analyze raw data with business goals and outcomes in mind.
• Improve data quality and efficiency while maintaining datasets.
• Understand and leverage client standards, processes, and recommended approaches.
• Identify and suggest opportunities for data process improvements and efficiencies.
• Ensure data readiness for analytics, AI, or other outcomes.
• Support agile work processes and keep work management systems current (i.e., Azure DevOps), and document client work effectively.
• Document client work appropriately.
• Complete development within service-level agreements and cycle time expectations as defined by the team.
• Manage various work projects to meet client high-quality standards.
• Perform QA on your work and the work of teammates to ensure the best outcomes.
• Embody client core values.

• Clients First – We care about client outcomes and do what is needed to deliver client results.
• Trust & Respect – We treat each other with fairness and respect. We trust each other to complete high-quality work and can be trusted to follow through.
• Collaborative Problem Solving – We embrace the idea that we can all do better and get better together.
• Success from Teamwork – We believe we can accomplish more when we effectively communicate and partner.
• Results Driven – We care about the outcomes we produce.

• Experience with Microsoft Fabric or similar platforms.
• Three to five years of professional development experience.
• SQL, KQL, Python, PySpark, and data modeling experience is essential.
• Subject matter expertise in data loading patterns, data architectures, and orchestration processes.
• Ability to ingest and transform data using notebooks, pipelines, dataflows, or event streams.
• Ability to store and query data in lakehouses, data warehouses, and event houses.
• Power BI experience will also be taken into consideration.
• Prior experience in an MSP environment is preferred, but candidates without it may also be considered.
• Ability to adapt to meet clients’ needs.
• Ability to juggle multiple projects.
• Ability to think critically and solve problems.
• Aptitude for learning new skills and patterns.

• Should be willing to accept a long-term work-from-home arrangement.
• Should be amenable to a permanent night shift schedule.