ANALYTICS ENGINEER
Location: Houston, TX
Employment Type: Full-Time
Work Model: Hybrid - Onsite 4 days per week
Reports To: Sr. Manager, Data & Analytics
ABOUT THE ROLE
We are seeking an Analytics Engineer to join our Data & Analytics team and play a key role in designing, developing, and maintaining our enterprise data platform. This position combines strong SQL development, data engineering, data warehousing, semantic modeling, and analytics expertise to ensure reliable, scalable, and high-quality data is available to business users and analytics teams.
The Analytics Engineer will support the Sr. Manager, Data & Analytics by executing the hands-on technical work required to maintain, optimize, and continuously evolve the enterprise data platform. The ideal candidate is comfortable working across the data stack—from ETL/ELT pipelines and data warehouses to semantic models and certified datasets—and has a strong focus on data quality, performance, reliability, and maintainability.
KEY RESPONSIBILITIES
Data Engineering & Data Platform Development
- Design, develop, and maintain enterprise data warehouse structures, tables, views, and related data assets
- Develop efficient and scalable SQL queries, stored procedures, transformations, and data models
- Build and maintain ETL/ELT processes that integrate data from multiple enterprise sources
- Develop and support data pipelines using Azure Data Factory
- Monitor data pipelines and proactively identify, troubleshoot, and resolve failures and data processing issues
- Implement appropriate error handling, logging, alerting, and recovery processes
- Support the ongoing enhancement and evolution of the enterprise data platform
Analytics & Semantic Modeling
- Design and maintain semantic models that enable consistent, trusted, and user-friendly access to enterprise data
- Develop and maintain certified datasets for reporting, analytics, and business intelligence
- Translate business and analytical requirements into scalable data models and technical solutions
- Establish consistent definitions, relationships, calculations, and business logic across analytical datasets
- Partner with data analysts, BI developers, and business stakeholders to ensure data solutions meet reporting and analytical needs
Data Quality & Performance
- Develop and automate data quality checks, validation processes, and monitoring capabilities
- Identify data quality issues and work with appropriate teams to determine root causes and implement solutions
- Optimize SQL queries, data models, and pipelines to improve performance and scalability
- Perform platform performance tuning and identify opportunities to improve reliability and efficiency
- Monitor overall data platform health and contribute to performance and capacity improvements
Documentation & Best Practices
- Create and maintain technical documentation for data models, pipelines, transformations, processes, and data definitions
- Establish and follow standards for SQL development, data modeling, pipeline development, and data quality
- Contribute to data engineering best practices, development standards, and platform governance
- Participate in code reviews and provide recommendations to improve the quality, maintainability, and performance of data solutions