Note: The job is a remote job and is open to candidates in USA. Bridgepointe Technologies is a Silicon Valley-based provider of vendor-agnostic IT services and infrastructure solutions that helps businesses procure, implement, and maintain technology. The company is seeking a Senior Data Engineer to design, build, and scale a modern Microsoft Fabric data platform, including reliable ingestion and transformation pipelines, integrated business-system data, governed data assets, and scalable solutions for reporting, analytics, and future AI use cases.
Responsibilities
- Fabric Platform Engineering: Design and build scalable data solutions in Microsoft Fabric across Lakehouse, Warehouse, Pipelines, Notebooks, and OneLake
- Data Integration: Build and maintain reliable ingestion and integration patterns across SaaS platforms, operational systems, flat files, and APIs
- Data Modeling: Design and optimize curated data models that support enterprise reporting, analytics, and downstream consumption
- Data Quality & Governance: Implement data quality checks, monitoring, lineage, and governance standards to improve trust, reliability, and maintainability
- Integration Engineering: Integrate data from systems such as Salesforce, finance platforms, and third-party applications using REST APIs, files, and other modern ingestion patterns
- Operational Excellence: Establish production-ready engineering practices including documentation, observability, performance tuning, error handling, and supportable handoffs
- Stakeholder Partnership: Partner with business and technical stakeholders to translate requirements into scalable data products and integration solutions
Skills
- 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
- 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)
- Applicants must be currently authorized to work in the United States on a full-time basis
- Candidates must be located in the United States
- 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
Benefits
- Company subsidized Medical, Dental, and Vision Care benefits
- HSA Plan
- Short-term and Long-term Disability
- Company-paid AD&D and Life Insurance
- 401k plan
- Unlimited PTO
- Flexible and innovative work environment
Company Overview