Data Engineer III/Senior (Analytics)
$130,000–$170,000 year
On-siteIrving, Texas, United States
Job Summary
Lead the development of enterprise data models, semantic layers, and reporting datasets using Microsoft Fabric, Databricks, SQL, and Python to enable data-driven decision making across the organization. Design scalable analytics solutions that support operational reporting, executive dashboards, and self-service tools while establishing data quality standards and validation processes. Collaborate with product teams, architects, and business stakeholders to translate complex requirements into actionable insights, mentor engineers through code reviews and design guidance, and advocate for analytics best practices and metric governance. Optimize reporting experiences for performance and usability to ensure trusted, reliable data foundations that scale with future business needs.
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
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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