Senior Data Engineer, Data Analytics

4 weeks ago

Reston, Virginia, United States Demo - Maximus Full time

Job Summary

The Sr. Data Engineer - Data Analytics is a key contributor to the successful delivery of analytic solutions. They are experienced in data, analytics, and data science development and implementation, data architecture, data visualization and communication, ETL/ELT layers, and performance tuning.

With an emphasis on effective collaboration with key stakeholders, the Sr. Data Engineer is responsible for the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technical solutions.

They utilize a repeatable approach, cohesive framework, and industry standards with an emphasis on enterprise data and analytic tools and technology.

The Sr. Data Engineer has deep theoretical and practical knowledge of the Systems Development Life Cycle (SDLC) activities specific to data integration and analytics.

They are expected to apply independent judgment and initiative in carrying out assigned tasks and will function as a lead and mentor to other developers.

In addition, the Sr. Data Engineer works collaboratively with other analysis and development teams to create standards and best practices for analytic solutions.

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 nontechnical 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.

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 datacentric 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.

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