Senior Data Analytics Engineer

We are seeking a highly skilled Senior Data Analytics Engineer to deliver business intelligence solutions to the entire organization. As a Senior Data Analytics Engineer, you will be responsible for assessing business requirements, collecting and identifying technical specifications, and developing technology solutions to meet business needs. Responsibilities:

• Develop and maintain data integration solutions, including ETL/ELT design and architecture, semantic layer objects, presentation objects, reports, and dashboards for delivery of analytic solutions. * Translate business needs and requirements to system requirements, data mapping, and data and semantic model design. * Analyze requirements and apply architectural and engineering concepts to develop solutions that meet business needs while maintaining sustainability objectives, including scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability. * Provide training and consulting for various technical and non-technical internal teams. * Produce work breakdowns and task estimates, and track activities. * Produce and document standard and best practices. * Provide level 3 support for production systems. * Work with the Data Architect and senior leadership to execute on data model designs and enterprise solutions. * Communicate relevant and timely information to drive consensus, improve solutions, and foster teamwork between senior leadership, coworkers, and internal clients. Qualifications:
• Bachelor's degree (Master's preferred) in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or related field. Equivalent experience will be considered in lieu of a degree. * 5+ years of experience in a technical role engineering data and/or analytics solutions. * Proven track record of successfully delivering large data-centric projects. * Ability to produce high-quality documentation of business and system requirements, system design, data architecture, and training materials. * Expert data skills, including complex queries, performance tuning, expertise in a variety of approaches (e.g., relational, dimensional, unstructured). * Highly skilled in building data and semantic layers utilizing enterprise analytic tools such as Tableau, Microstrategy, or PowerBI. Benefits:

Maximus provides a comprehensive benefits package, including:

• Health insurance coverage
• Life and disability insurance
• Retirement savings plan
• Paid holidays and paid time off
• Short- and long-term incentives
• Program-specific awards
• Competitive salary range: $115,000 - $135,000 per year