Director - Data Engineering

Maximus is currently seeking a Director - Data Engineering to lead the modernization of internal systems and drive enterprise digital strategy. This role involves overseeing the design and delivery of data platforms and processes that enable analytics and support AI/ML initiatives, playing a critical part in Maximus' digital transformation.

Responsibilities:

• Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems
• Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows
• Direct data integration efforts across multiple formats —including XML, JSON, and other structured sources— to support system interoperability and business intelligence requirements
• Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality
• Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights
• Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical
• Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms
• Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors. May also lead through influence of other teams/departments. Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results
• Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines

Requirements:

• Bachelor's degree in relevant field of study
• 10+ years of relevant professional experience required
• 10+ years experience within Data Engineering
• 5+ years of direct management experience
• SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers
• ETL processes involving SQL databases
• Experience working with data in a variety of formats including XML and JSON
• Basic scripting skills using Python or other similar languages to transform data
• Advanced skills in Excel
• Experience working in an operational environment where system uptime is critical
• Experience with reporting and visualization tools (Qlik, PowerBI, and others)
• Experience with Snowflake
• Experience generating highly relevant synthetic data
• Salesforce and Mulesoft experience
• AI and data science skills