Lead Data Analytics Engineer

Description & Requirements The Lead Data Engineer reports to the Senior Manager of Analytics Technology and provides both expert guidance and hands-on development of the enterprise data warehouse, Salesforce CRMA platform, BI delivery, and other related tasks.

The lead is heavily focused on individual contribution in hands-on development, but also provides leadership via assisting on the development of technical architecture, adherence to naming conventions, change control, best practices, DevOps, QA / QC, and other technical topics as well as mentoring more junior team members.

This role also entails documentation development including standard operating procedures, ERDs, data governance, best practices, etc.

Essential Duties and Responsibilities : - Responsible for delivery of systems and solutions, 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.
• Conduct code reviews, mentor and guide developers, assign tasks to developers, provide subject-matter expertise to project and leadership teams.
• 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. Essential Duties and Responsibilities : - Responsible for delivery of systems and solutions, 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.
• Conduct code reviews, mentor and guide developers, assign tasks to developers, provide subject-matter expertise to project and leadership teams.
• 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 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. - 7+ 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.

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. - 7+ 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.

EEO Statement Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce.

We recognize your unique skills and experiences, and want to provide you with a career path that allows you to continue making a difference for our country.

We're proud of our connections to organizations dedicated to serving veterans and their families.

If you are transitioning from military to civilian life, have prior service, are a retired veteran or a member of the National Guard or Reserves, or a spouse of an active military service member, we have challenging and rewarding career opportunities available for you.

A committed and diverse workforce is our most important resource.

Maximus is an Affirmative Action / Equal Opportunity Employer.

Maximus provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disabled status.

Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.

Annual salary is just one component of Maximus's total compensation package.

Other rewards may include short- and long-term incentives as well as program-specific awards.

Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off.

Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience.

An applicant's salary history will not be used in determining compensation.

Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Annual Base Pay Minimum for this Position $ 97,100.

00 Annual Base Pay Maximum for this Position $ 183,600.00 *