Data Engineer (BI)
New
B
BridgewayData Engineering
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLBusiness IntelligenceMicrosoft Power BIData engineeringDatabricksAzure DevOps
Requirements
- 3+ years of hands-on data engineering and/or business intelligence experience.
- 3+ years designing semantic/dimensional data models and building dashboards and reports in a modern BI platform.
- 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering.
- Experience in Databricks, including DAB and Materialized Views.
- Experience implementing row-level security and Entra ID-based access controls.
- Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s degree preferred).
- Strong understanding of ELT processes and data architecture.
- Experience with Azure DevOps (GitHub CoPilot is a plus).
- Experience dealing with HIPAA compliant data sets is a plus.
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, Power BI, and Databricks AI-BI, enabling business users to explore data through governed self-service analytics.
- Define and maintain Sigma workspace standards, including workbook templates, RLS configuration, and naming conventions.
- Collaborate with the Architecture team on data quality, testing, and observability while managing triage and resolution of BI-layer and dashboard issues.
- Drive BI adoption by training business users, monitoring dashboard usage, and identifying assets for redesign or deprecation.
- Ensure data security and compliance, including implementation of role-based access controls and row-level security.
- Gather reporting requirements from stakeholders and translate them into technical specifications and data products.
- Enable analytics, reporting, and AI/ML use cases through business-friendly data models and platform integrations.
- Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation.
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