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# Data Engineer

- **Company:** Horizontal Talent
- **Location:** Tempe, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Data Integration, Data Systems, Python (Programming Language), Power BI, Standard Sql, Software Repository, Cloud Platform System, Azure Data Factory, Apache Spark, Tools for Reporting, Data Delivery, Data Pipelines, Databricks
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/ce06d636-639e-427d-b3f2-3ce9c3b92a5d

## About the Role

* Minimum 7 years of recent experience designing and delivering enterprise data solutions
 * Bachelor's degree from an accredited college or university
 * Hands-on experience with the Azure data stack, including Databricks and Unity Catalog
 * Strong experience building data models and complex pipelines using Python/Spark and SQL
 * Experience with Git repositories and CI/CD deployment processes
 * Ability to turn business needs into practical technical solutions
 * Strong communication, collaboration, and problem-solving skills
 * Experience working across technical and business teams

Preferred Skills

 * Familiarity with data consumption platforms and analytics tools such as Power BI
 * Exposure to the Power Platform
 * Experience supporting solution design through deployment in a structured delivery environment
 * Ability to work effectively in cross-functional settings with multiple stakeholders

Horizontal is committed to building inclusive teams and fostering a workplace where diverse perspectives are valued, respected, and empowered to contribute. We welcome candidates from all backgrounds and encourage anyone who meets the qualifications to apply.

## Description

Join a high-impact data engineering role focused on designing and delivering scalable cloud-based data solutions that support analytics, reporting, and business operations. This position offers the opportunity to lead technical execution across the full solution lifecycle while working with modern Azure data technologies in a collaborative environment.
Responsibilities

 * Design, build, and deploy end-to-end data solutions across cloud-based platforms
 * Develop resilient data pipelines for ingestion, transformation, and delivery of data assets
 * Troubleshoot and resolve complex data integration, performance, and data quality issues
 * Create and maintain logical and physical data models to support reporting and analytics needs
 * Partner with business stakeholders, analysts, and architects to translate requirements into technical designs
 * Prioritize data delivery efforts while managing dependencies across solution components
 * Ensure data models, pipelines, and products align with architecture standards and governance practices
 * Support the development of reusable frameworks and assets that improve consistency and scalability