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About the Role

Troon is seeking a motivated Data Engineer to design, build, and maintain scalable data integration pipelines within the Azure ecosystem. This role focuses on enabling data ingestion, transformation, and promotion across medallion layers to support analytics and reporting in a dynamic corporate environment.

Responsibilities

• Design, develop, and maintain end-to-end data pipelines for internal and external systems
• Manage data integration processes using Azure Data Factory, Azure Synapse, and Azure Data Lake
• Implement and enforce medallion architecture for data refinement
• Transform raw data into clean, validated, and enriched datasets
• Optimize data models and transformation logic for performance and scalability
• Integrate data from APIs, SaaS platforms, databases, and third-party systems
• Ensure data quality, consistency, and integrity across all pipeline stages
• Implement monitoring, alerting, and logging for pipeline performance
• Collaborate with data analysts, data scientists, and product teams
• Maintain and optimize data storage solutions for cost and performance efficiency
• Establish best practices for version control, CI/CD, and deployment
• Document data flows, transformations, and system dependencies

Requirements

• 3+ years of experience in data engineering, ETL/ELT development, or data integration
• Hands-on experience building and maintaining production-grade data pipelines
• Experience working within cloud-based data platforms, specifically Azure
• Experience implementing medallion architecture
• Experience integrating multiple enterprise systems such as CRM and ERP
• Experience supporting analytics or BI environments

Skills

• SQL
• Data transformation techniques
• Azure Data Factory
• Azure Data Lake
• Azure Synapse Analytics
• ETL/ELT pipeline design and orchestration
• Relational and dimensional data modeling
• API integration
• File-based ingestion
• Streaming data sources
• Data quality and validation
• Error-handling techniques
• Problem-solving and troubleshooting
• PySpark
• Spark
• Databricks
• Delta Lake
• Lakehouse architectures
• CI/CD pipelines
• DevOps practices
• Data governance
• Data lineage
• Cataloging tools

Location

• Scottsdale, AZ

Work Type

• Full-time

Experience Level

• 3+ years

Education Level

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
• Equivalent combination of education and experience

About the Company

• Founded in 1990 and headquartered in Scottsdale, AZ
• World’s largest professional club management company specializing in golf, hospitality, and residential communities
• Operates more than 900 locations in 45+ states and 27+ countries