Senior Data & Analytics Engineer

At Carter Machinery, we don’t just offer jobs - we offer long-term careers defined by purpose, innovation, and impact. We’ve built an award-winning workplace where high achievers thrive, careers grow, and your work truly matters.

Our legacy is strong, our vision is bold, and our future is built on investing in the growth and well‑being of our people. Whether you're turning a wrench, managing operations, or supporting customers, you play a vital role in powering industries that moves the world forward.

Job Title: Senior Data and Analytics Engineer

Location: Richmond, Virginia

Starting Compensation Range: $120,000 - $145,000 per year

• Lead business requirements discussions across all business functions; translate immediate business needs into prioritized reporting and analytics solutions with clear acceptance criteria
• Develop a broad understanding of Carter’s enterprise data model, business processes, and source relationships; connect data across functions to support consistent analysis
• Design, develop, and optimize Power BI reports, dashboards, semantic models, and DAX measures that support business decisions and consistent KPI definitions
• Build and maintain reusable SQL datasets, views, and transformations on modern cloud data platforms, including Snowflake and Microsoft Fabric
• Own solution delivery from requirements and development through testing, business validation, rollout, documentation, and user adoption; measure results against agreed business needs
• Partner with business stakeholders to define KPIs and business rules, resolve conflicting definitions, and teach users how to interpret and apply data
• Apply AI data preparation and modeling best practices to produce trusted, well‑documented datasets; partner with AI team on data requirements, quality, context, and readiness
• Collaborate with the Data Architect and data development team to align solutions with architecture, security, governance, and development standards and coordinate pipeline dependencies
• Support migration of Tableau reports to Power BI and modernization of legacy reporting; consolidate redundant reports and promote reusable datasets and semantic models
• Validate data accuracy, reconcile results with source systems, investigate discrepancies, and document business rules, source mappings, and lineage
• Optimize performance, apply version control and release practices, support delivered solutions, and mentor colleagues in data modeling, reporting, and business engagement
• Work in coordination with team to achieve Continuous Improvement goals and objectives
• Perform other related duties as assigned

• Eight or more years of relevant experience in data and analytics, reporting, business intelligence, analytics engineering, or related roles
• Hands‑on experience with SQL, Power BI, DAX, semantic models, and modern cloud data platforms, including delivery of solutions in partnership with business stakeholders
• Experience with Microsoft Fabric and Snowflake preferred. Knowledge of Microsoft Dynamics 365 schemas and data structures, and proficiency with Python, preferred
• Experience owning delivery from requirements through validation and adoption, with knowledge of AI data preparation and modeling best practices
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or a related field, or equivalent practical experience
• Strong SQL skills, including reusable dataset development, data validation, and query performance optimization
• Proficiency with Power BI, DAX, semantic modeling, dimensional modeling, and report design
• Knowledge of modern cloud data platforms and best practices for preparing and modeling data for reporting, analytics, and AI use
• Re…