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# Data Engineer

- **Company:** Smile Doctors
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Agile Methodology, Artificial Intelligence, Data Analysis, Cloud Database, Cloud Engineering, Information Systems, Data Architecture, Information Engineering, Data Infrastructure, Scrum Methodology, Standard Sql, Enterprise Data Management, Azure Data Factory, Snowflake, Information Technology, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c0475229033f3d97

## About the Role

* Strong analytical and problem solving skills
 * Ability to work effectively in Agile or iterative delivery environments
 * Ability to present complex technical details in a clear and concise manner, making it easy for non-technical team members to understand, * Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field required
 * Six (6) years of progressive data engineering experience in regulated or security-sensitive data environments required
 * Experience supporting enterprise-wide or executive-level analytics required
 * Advanced knowledge of Azure data services and cloud-native architectures
 * Advanced knowledge of Snowflake or a comparable cloud data warehouse
 * Advanced knowledge of data modeling principles and data architecture concepts
 * Advanced proficiency with SQL
 * Advanced proficiency with building data pipelines and transformations in cloud environments

## Description

The Sr. Data Engineer is responsible for designing, building and scaling our enterprise data platform. This position will also develop reliable, high-quality data pipelines and curated data models that support enterprise analytics, reporting, and executive decision-making.

How you'll make us better:

 * Design, build, and maintain scalable data pipelines and transformations in a cloud-based data platform
 * Develop ingestion patterns from enterprise source systems into cloud data warehouses
 * Build and optimize analytics-ready data models to support enterprise metrics and reporting
 * Implement data quality checks, validations, and reconciliations to ensure data accuracy and reliability
 * Partner with analytics, architecture, and business teams to translate requirements and metric definitions into production solutions
 * Apply security, access control, and governance standards to all data assets
 * Participate in Agile delivery practices, including sprint planning, standups, and backlog refinement
 * Contribute to the development and continuous improvement of data engineering standards, documentation, and best practices
 * This role requires use of approved AI tools to perform assigned tasks more efficiently and effectively


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