Data Engineer BI and Reporting

You will own and scale reporting and analytics infrastructure, build SQL and dbt models, maintain dashboards and recurring reports, automate reporting workflows, improve data quality and governance, and support AI-driven reporting and quality-assurance systems.

Responsibilities

• Build and maintain scalable SQL and dbt data models, marts, semantic layers, and reporting datasets
• Clean, structure, and document complex data systems
• Develop trusted reporting foundations for business teams
• Improve data consistency, metric governance, and reporting standards
• Own production dashboards, recurring reports, KPI packs, and reporting workflows
• Define KPIs, business logic, and reporting requirements with stakeholders
• Ensure dashboard accuracy, reliability, and usability
• Build or manage automated reporting workflows and monitoring systems
• Support AI agents for reporting quality assurance, data quality, KPI generation, dashboard monitoring, reporting automation, metric documentation, and data freshness checks
• Implement data quality assurance, validation, monitoring, and alerting
• Troubleshoot reporting discrepancies and data issues proactively

Requirements

• 3–6 years of experience in analytics engineering, BI engineering, reporting engineering, data analytics, data modeling, reporting automation, or similar fields
• Advanced SQL skills
• Strong hands-on dbt experience
• Experience building SQL tables, marts, semantic layers, reporting datasets, and transformation pipelines
• Experience with BI tools such as Looker, Tableau, Power BI, Metabase, Sigma, Hex, or Mode
• Experience maintaining production dashboards and recurring reports
• Experience with data quality assurance, monitoring, and reporting automation
• Strong documentation habits and a quality-assurance mindset
• Ability to independently own reporting infrastructure and workflows

Benefits

• Health benefits
• Fully remote work