Director - Data Engineering

Maximus is currently seeking a Director - Data Engineering to drive enterprise digital strategy and data innovation. This role involves leading the design and delivery of scalable data platforms and processes to enable analytics and support AI/ML expansion.

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