Data Engineer – BI

Bridgeway Benefit Technologies

. Design and maintain semantic data models, metrics layers, and certified datasets .

Posted 9/24/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining semantic data models, optimizing dashboards, and ensuring data security and compliance. Proficient in analytics and reporting, with a strong focus on collaboration within Agile-Scrum frameworks.

Highest-signal resume keywords

Data Engineering ExperienceBusiness Intelligence ExperienceAnalytical SQL ProficiencyDatabricks ExpertiseDashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Semantic Data ModelsMetrics Layer DesignAnalytical SQLPython for Data EngineeringDashboard OptimizationData Transformation LogicData GovernanceRow-Level Security ImplementationAgile-Scrum CollaborationFeature Availability for AI/ML

Soft Skills

CollaborationTraining and SupportProblem-Solving

Tools & Technologies

SigmaPower BIDatabricksAzure DevOpsGitHub CoPilot

Industry Keywords

HIPAA ComplianceData SecurityData QualityBusiness-User TrainingGovernance Practices

Tech Stack

Tools & technologies

AzurePythonSparkSQL

About the role

Key responsibilities & impact

Design and maintain semantic data models, metrics layers, and certified datasets
Define, standardize, and govern KPIs, calculation logic, and shared metric glossary
Develop, maintain, and optimize dashboards and reports in Sigma, Power BI, and native Databricks dashboards/AI-BI Genie
Define and maintain Sigma workspace standards, workbook templates, certified datasets, row-level security configuration, and governance conventions
Collaborate with Architecture on data quality, testing, and observability
Own triage and resolution of BI-layer and dashboard issues
Drive BI adoption through business-user training and support
Monitor dashboard usage and identify assets for redesign, training, or deprecation
Ensure data security and compliance through role-based access controls, encryption, masking, and governance practices
Gather reporting and analytics requirements and translate them into technical specifications and data products
Enable analytics, reporting, and AI/ML use cases through data models, feature availability, and platform integrations such as Databricks Vector Search and Model Serving
Collaborate within an Agile-Scrum framework and create technical design documentation
Build and maintain production dashboards and workbooks in Sigma
Implement row-level security and Entra ID-based access controls
Collaborate with engineering, analytics, and business stakeholders to align priorities

Requirements

What you’ll need

3+ years of hands-on data engineering and/or business intelligence experience
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
Hands-on experience with a metrics or semantic layer
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
Knowledge of Azure DevOps
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
GitHub CoPilot knowledge is a plus
Preference given to East Coast candidates

Benefits

Comp & perks

Remote work arrangement
Occasional travel
Opportunity to work with modern BI, data engineering, and AI/ML tools
Training and support for business users and analytics adoption