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Senior Engineer - Data AnalyticsMaximus • Concord, California, United States
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Senior Engineer - Data Analytics

Maximus
  • US
    Concord, California, United States
  • US
    Concord, California, United States
Jetzt Bewerben

Über

Maximus is currently seeking a Senior Engineer - Data Analytics to support our Enterprise Data Services team.
Enterprise Data Services is a team within Maximus aligned under the Office of the Chief Data Information Officer. Primarily engaged in building and supporting data, analytics, and business intelligence capabilities throughout the org. Our team works with a variety of operational and program areas—including US Services (contracts with states), Clinical Services, Finance and various others to help deliver trusted reporting, dashboards, and data-driven insights. One of the team’s core platforms is DecisionPoint, a business intelligence product that brings together data from multiple systems and channels to provide dashboards, reporting, automated delivery, and monitoring capabilities that support day-to-day operations and decision‑making.
This is a remote position.
Essential Duties and Responsibilities
Responsible for delivery of business intelligence (BI) information to the entire organization, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.
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 (scoping and tracking activities).
Produce and document standard and best practices.
Provide level 3 support for production systems.
Job‑Specific Essential Duties and Responsibilities
Working with the Data Architect and senior leadership to execute on data model designs and enterprise solutions.
Expertly communicate relevant and timely information that drives consensus, improves solutions and fosters teamwork between senior leadership, coworkers and internal Maximus clients that drives good project outcomes and solution delivery.
Takes ownership of solutions and develops broad subject matter expertise of our underlying data.
Adhere to SDLC best practices, and assist in overall promotion to prod effort around data validation and completeness of solution and delivery.
Minimum Requirements - 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.
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Minimum Salary $115,000
Maximum Salary $135,000
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  • Concord, California, United States

Sprachkenntnisse

  • English
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