Senior Data Engineer

Bridgepointe Technologies is a strategic partner for businesses in IT services and infrastructure. They are seeking a Senior Data Engineer to design, build, and scale their modern data platform in Microsoft Fabric, focusing on reliable data ingestion and transformation pipelines to support reporting and analytics.

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:

• Applicants must be currently authorized to work in the United States on a full-time basis
• Candidates must be located in the United States
• 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
• Microsoft Certifications: 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