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Our client, a global law firm, is seeking a Data Engineer to join their team in Los Angeles, CA!
The ideal candidate will build the analytical outputs that turn the firm’s data assets into decisions. The immediate tactical need is concrete: you will generate a sustained pipeline of dashboard, reporting, and analytics requirements on behalf of practice groups and firm leadership.
Responsibilities: K&I Intelligence Analytics - Serve as the analytical delivery partner to the K&I Enterprise Intelligence function — building the reports, dashboards, and data models that turn K&I intelligence strategy into outputs practice groups and firm leadership rely on.
- Work directly with the Director of Enterprise Intelligence and Firm Intelligence Manager to understand practice group analytics requirements and translate them into governed, scalable BI solutions.
- Build and maintain the Power BI and Fabric analytics layer that surfaces Foundation experience management data, competitive intelligence, and practice performance insights to attorneys and leadership.
Analytics Delivery - Design, build, and maintain Power BI reports, dashboards, and semantic models that serve practice groups, business services, and firm leadership.
- Develop and maintain data models in Microsoft Fabric, including lakehouses and warehouses, to support intelligence and analytics workloads.
- Write and optimize SQL and Python-based transformations to prepare data for analytical consumption.
- Monitor report performance and data quality; proactively identify and resolve issues.
Stakeholder Engagement - Work with K&I and practice group stakeholders to gather and refine analytics requirements and translate them into well-structured, scalable solutions.
- Support adoption by creating documentation and providing guidance to end users on self-service capabilities.
- Contribute to AI-assisted analytics development where use cases and platform capabilities support it.
Governance & Standards - Apply data governance and security standards to all BI outputs — row-level security, data classification, sensitivity labels.
- Collaborate with the Senior Intelligence Platform Engineer on the underlying data infrastructure that powers analytics workloads.
- Ensure all deliverables align with enterprise architecture standards and the firm’s data governance framework.
Qualifications: Required Qualifications - Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field, or equivalent practical experience.
- 3+ years of hands-on experience building production Power BI solutions — reports, dashboards, semantic models, and DAX.
- Experience working with Microsoft Fabric or Azure Synapse Analytics.
- Hands-on Power BI development — reports, dashboards, semantic models, DAX.
- Solid SQL skills; Python experience for data transformation is a plus.
- Understanding of data modelling principles and experience building star schema or equivalent analytical models.
- Practical awareness of data governance — security and quality standards applied as a matter of course.
- Curiosity about AI-assisted analytics and emerging BI platform capabilities.
- Ability to engage directly with K&I and practice group stakeholders, ask the right questions, and manage expectations on scope and delivery.
- Detail-oriented with a commitment to data quality and documentation.
Preferred Qualifications - Professional services or legal industry experience is helpful but not required.
- Experience with legal industry data sources or experience management platforms such as Foundation.
- Familiarity with Azure OpenAI or AI-assisted analytics development.
- License and Certification: Microsoft Power BI, Fabric, or Azure Data Engineer certification.
Salary: $105,000 - $166,000
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