Data Engineer III/Senior (Analytics)
$130,000–$170,000 year
On-siteRomulus, Michigan, United States
Job Summary
Design and build enterprise analytics solutions, data models, and reporting experiences using Microsoft Fabric, Databricks, SQL, and Python. Develop semantic layers and intuitive reporting datasets that support self-service analytics, executive dashboards, and advanced business insights. Establish data quality standards, validation processes, and observability while optimizing solutions for performance and maintainability. Lead data design discussions, mentor team members, and collaborate with product, architecture, and business stakeholders to translate requirements into scalable analytical strategies. Communicate technical concepts to diverse audiences and advocate for data-driven decision-making across the organization. This role sits within the engineering discipline supporting the Americas geography and contributes to initiatives enhancing operations across 70+ offices.
Required Qualifications
- Bachelor's degree with 5+ years, or Master's with 3+ years, or equivalent experience
- Bachelor's degree with 10+ years, Master's with 5+ years, or PhD with 3+ years
- Advanced proficiency in designing, developing, and optimizing enterprise data models and semantic layers that support scalable analytics
- Demonstrated expertise in developing scalable reporting and analytics solutions using enterprise visualization tools
- Knowledge of data governance, data privacy regulations (e.g., GDPR, CCPA), and best practices for ensuring data security and compliance
- Expert-level proficiency in writing, optimizing, and troubleshooting complex SQL queries across multiple databases
- Must be able to lift 50 lbs
- Must be available for weekend shifts
- Valid driver's license
- Order to Cash
- Procure to Pay
- Supply Chain
- Customers
- Suppliers
Desired Qualifications
- Proven expertise designing and implementing end-to-end analytics solutions using Microsoft Fabric and Databricks, including data modeling, semantic layer development, performance optimization, and analytics architecture
- Expert proficiency in data visualization applications, including Power BI, Tableau, and Python visualization libraries (e.g., Matplotlib, Seaborn, Plotly)
- Experience implementing Git-integrated CI/CD frameworks for Microsoft Fabric, Databricks, and analytics platforms, including automated validation, deployment pipelines, release governance, and measurement of engineering performance through DORA metrics
- Relevant certifications in Analytics and Cloud platforms (Databricks Data Engineer Professional, Power BI Data Analyst, Azure Solutions Architect Expert)
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