Data Engineer (Fabric, PySpark, Salesforce) - 100% Remote

We are building a modern data platform in Microsoft Fabric and seeking a Senior/Principal Data Engineer to help design, implement, and scale it. This role is hands-on with pipelines, notebooks, and CI/CD automation, while also playing a key role in architectural decisions and best practices. You will work alongside a team of senior engineers and architects - each bringing expertise in their domain - so collaboration, technical depth, and leadership are equally important. Key Responsibilities Engineering in Microsoft Fabric Develop, optimize, and maintain Fabric Data Pipelines for ingestion from on-prem and cloud sources. Build PySpark notebooks to implement scalable transformations, merges/upserts, and medallion-lakehouse patterns. Ensure reliability and performance in Lakehouse and Delta Lake design. Architecture & Design Contribute to the design and evolution of our Fabric-based platform. Define standards and frameworks for schema management, versioning, governance, and data quality. Collaborate with peers to evaluate trade-offs and guide enterprise-scale architecture. DevOps & CI/CD Build and maintain deployment pipelines for Fabric artifacts (notebooks, pipelines, lakehouses). Establish environment-aware configuration and promotion workflows across Dev/QA/Prod. Drive automation to reduce manual effort and improve reliability. Mentorship Work as a peer-leader with other senior engineers and architects to shape platform strategy. Mentor other engineers and contribute to building a strong engineering culture. Required Qualifications 7+ years in data engineering, with proven impact in enterprise environments. Strong hands-on expertise in Microsoft Fabric (Pipelines, Lakehouse, Notebooks, OneLake). Advanced PySpark skills for data processing at scale. Expertise in Delta Lake, medallion architecture, schema evolution, and data modeling. Experience with CI/CD for data engineering, including Fabric asset deployments. Strong SQL and experience with SQL Server/Azure SQL. Preferred Qualifications Experience helping launch or scale Microsoft Fabric adoption. Familiarity with data governance, lineage, and compliance frameworks. Knowledge of real-time/streaming data patterns. Exposure to Salesforce, CRM, or DMS integrations. Excellent communication and collaboration skills for working with peer-level experts. In-depth knowledge of the Azure ecosystem (API Management, Azure Functions, etc.).

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