Note: The job is a remote job and is open to candidates in USA. Bridgeway Benefit Technologies is seeking a Data Engineer (BI) to build and maintain data warehouse infrastructure and the semantic models, dashboards, and reporting built on top of it. The role partners with analysts, engineers, and business stakeholders to develop secure data pipelines, curated data models, governed self-service analytics, and BI solutions that support reporting and AI/ML use cases.
Responsibilities
- Design and maintain semantic data models, metrics layers, and certified datasets that provide a consistent, business-friendly source of truth for reporting and self-service analytics
- Define, standardize, and govern KPIs, calculation logic, and a shared metric glossary so that metrics are consistent and trusted across dashboards and self-service analytics
- Develop, maintain, and optimize dashboards and reports in Sigma (primary), with some Power BI and native Databricks dashboards/AI-BI Genie , and enable business users to explore data through governed self-service analytics
- Define and maintain Sigma workspace standards (workbook templates, certified datasets, RLS configuration, naming/governance conventions) in the development instance for promotion across tenant environments, in partnership with Platform Engineering, for tenant-level administration
- Collaborate with the Architecture team on data quality, testing, and observability; own triage and resolution of BI-layer/dashboard issues
- Drive BI adoption by training and supporting business users, monitoring dashboard usage, and identifying underused or redundant assets for redesign, training, or deprecation
- Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information
- Gather reporting and analytics requirements from business stakeholders, define success measures, and translate them into technical specifications and well-structured data products
- Enable analytics, reporting, and AI/ML use cases through well-structured, business-friendly data models, feature availability, and platform integrations using tools such as Databricks Vector Search and Model Serving
- Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery
- Build and maintain production dashboards and workbooks in Sigma, ensuring reliability and performance for business users
- Implement row-level security and Entra ID-based access controls to govern and secure data access within the BI/data platform
- Collaborate and communicate proactively with engineering, analytics, and business stakeholders, influencing priorities and driving alignment across teams
Skills
- 3+ years of hands-on data engineering and/or business intelligence experience required
- Experience in Databricks, including DAB and Materialized Views
- 3+ years designing semantic/dimensional data models and building dashboards and reports in a modern BI platform including hands-on experience with a metrics or semantic layer required
- 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required
- Azure DevOps; GitHub CoPilot knowledge is a plus
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Experience dealing with HIPAA compliant data sets is a plus
- Master's degree preferred
Benefits
- Remote position with occasional travel
Company Overview