Senior Data Engineer

Bridgepointe Technologies, based in Silicon Valley, is seeking a skilled Senior Data Engineer to help design, build, and scale their modern data platform in Microsoft Fabric. The role focuses on building reliable ingestion and transformation pipelines, integrating data from core business systems, and creating well-governed data assets that support reporting, analytics, and future AI use cases.

Responsibilities:

• Design and build scalable data solutions in Microsoft Fabric across Lakehouse, Warehouse, Pipelines, Notebooks, and OneLake
• Build and maintain reliable ingestion and integration patterns across SaaS platforms, operational systems, flat files, and APIs
• Design and optimize curated data models that support enterprise reporting, analytics, and downstream consumption
• Implement data quality checks, monitoring, lineage, and governance standards to improve trust, reliability, and maintainability
• Integrate data from systems such as Salesforce, finance platforms, and third-party applications using REST APIs, files, and other modern ingestion patterns
• Establish production-ready engineering practices including documentation, observability, performance tuning, error handling, and supportable handoffs
• Partner with business and technical stakeholders to translate requirements into scalable data products and integration solutions

Requirements:

• 5+ years of experience in data engineering, data platform engineering, or similar hands-on roles
• Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent professional experience)
• Strong hands-on experience with Lakehouse, Warehouse, Data Pipelines, Notebooks, and OneLake in production-oriented environments
• Experience with continuous integration and continuous deployment practices, including source control with Git and delivery workflows using Azure DevOps
• Strong proficiency building notebook-based transformations and scalable data processing workflows
• Advanced SQL skills including complex transformations, performance tuning, and dimensional data design
• Strong scripting and engineering skills for data processing, automation, and integration workflows
• Experience with Azure-based data services and modern cloud data platform concepts relevant to Microsoft Fabric
• Strong understanding of Delta Lake, Parquet, partitioning, and incremental processing patterns
• Strong experience designing dimensional and analytical models for reporting and self-service consumption
• Experience building robust integrations using REST APIs, file-based ingestion, JSON, and related data exchange patterns
• Experience with version control, reusable code patterns, testing, documentation, and collaborative development workflows
• DP-600 (Fabric Analytics Engineer) or DP-700 (Fabric Data Engineer)
• Experience with Power BI and building optimized semantic models
• Experience integrating data from CRM, finance, commissions, or other operational business systems
• Prior experience with legacy ETL and workflow automation tools is beneficial for migration tasks