Senior Data Engineer, HR Data & Analytics

FTI Consulting • Washington, DC

3d

About The Position

FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world’s top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations. At FTI Consulting, you’ll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you’ll be an integral part of a focused team where you can make a real impact. You’ll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you. Are you ready to make your impact? About the Role We are seeking a highly skilled Senior Data Engineer to join our HR Data & Analytics team. This role is responsible for designing, building, and optimizing scalable data solutions that enable business intelligence, reporting, analytics, and decision-making across the organization. The ideal candidate brings deep expertise in SQL, data integration, data modeling, and Power BI, along with strong experience building modern data platforms and pipelines. This individual will collaborate closely with HR stakeholders, analysts, data scientists, and technology teams to deliver reliable, scalable, and high-performance data solutions.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 5+ years of experience in data engineering, data warehousing, or business intelligence development
• Must have experience with the following - SQL Server / T-SQL, Data Integration (ETL/ELT), Data Modeling, Power BI, RLS, DAX, MDX, Data Warehousing, Database Design & Optimization, Git / Azure DevOps, VS, VS Code
• This role requires travel to clients and FTI offices
• Applicants must be currently authorized to work in the United States on a full-time basis; this position does not provide visa sponsorship

Nice To Haves

• Advanced expertise in SQL development and performance tuning.
• Strong experience designing and implementing data integration solutions, ETL/ELT pipelines, Medallion architecture.
• Deep understanding of data modeling principles, including multidimensional modeling, snowflake-schema and star-schema design.
• Advanced experience with Power BI, including semantic models, DAX, performance optimization, and enterprise reporting.
• Experience working with large and complex datasets in enterprise environments.
• Knowledge of data governance, master data management, and security best practices.
• Strong analytical, problem-solving, and communication skills.
• Experience supporting HR, Finance, Sales, or enterprise analytics environments.
• Experience with Agile development methodologies and DevOps practices.
• Strong documentation skills.
• Experience developing applications and integrations using C#/.NET and/or Python.
• Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Pipelines, and OneLake.
• Strong knowledge of REST APIs, web services, and system integrations.
• Experience with Microsoft Azure data and analytics services (Azure Data Factory, Azure SQL, Azure Databricks, Azure Functions).
• Technical Skills - C#, Python, SSRS, Microsoft Fabric, Azure Data Services, REST APIs

Responsibilities

• Design, develop, and maintain enterprise-grade data pipelines and integration solutions.
• Build and optimize data warehouse, data lake, and semantic models to support analytics and reporting needs.
• Lead data modeling efforts, including conceptual, logical, and physical data models.
• Develop robust ETL/ELT processes to ingest, transform, and manage data from multiple source systems.
• Create scalable and performant SQL solutions for complex business requirements.
• Support and enhance Power BI datasets, data models, and reporting architectures.
• Ensure data quality, consistency, governance, and security across the data ecosystem.
• Collaborate with business and technical stakeholders to translate requirements into technical solutions.
• Troubleshoot and resolve performance bottlenecks across databases, integrations, and reporting platforms.
• Contribute to data architecture decisions and establish engineering best practices.

Benefits

• on-the-job learning
• self-guided professional development courses
• certifications
• dedicated coach to mentor, guide and support you through regular coaching sessions
• tailored programs for critical professional milestones

What This Job Offers

• Job Type: Full-time
• Career Level: Senior