Data Engineer

LA CANTERA RESORT & SPA; Scottsdale (AZ); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Healthcare Benefits – Medical, Dental,

Retirement Benefits – 401(k) with emt

Job summary

Troon’s corporate office in Scottsdale, AZ seeks a Data Engineer to design, build, and maintain scalable data pipelines in the Azure ecosystem. You will ensure high-quality, governed data flows across bronze, silver, and gold medallion layers to support analytics, reporting, and downstream applications.

Ideal candidates bring 3+ years in data engineering, hands-on Azure data services experience, and a strong focus on data quality, modeling, and CI/CD practices within a collaborative tech

Qualifications

• 3+ years of experience in data engineering, ETL/ELT development, or data integration.

Responsibilities

• Design, build, and maintain end-to-end data pipelines to ingest data into Azure data platforms.

Skills

SQL

Azure data services

ETL/ELT

Data modeling

APIs & integration

Data quality & governance

Troubleshooting

PySpark/Spark/Databricks

CI/CD & DevOps

Performance optimization

Education

Bachelor’s degree in CS/IT/Engineering

Tools

Azure Data Factory

Azure Data Lake

Azure Synapse

Delta Lake

PySpark/Spark/Databricks

Job description

Troon’s Corporate office, located in Scottsdale, AZ, is pleased to announce an excellent career opportunity for a Data Engineer! We are seeking a highly motivated individual who is eager to learn, contribute, and advance their career within a rapidly growing organization. The ideal candidate will bring a strong commitment to professional development and a desire to succeed in a dynamic corporate environment.

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across bronze, silver, and gold medallion layers. Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization.

Key Responsibilities:

• Design, develop, and maintain end-to-end data pipelines to ingest data from internal and external systems into Azure data platforms
• Build and manage data integration processes using tools such as Azure Data Factory, Azure Synapse, and/or Azure Data Lake
• Implement and enforce medallion architecture (bronze, silver, gold) for structured data refinement and consumption
• Transform raw data into clean, validated, and enriched datasets suitable for analytics and business use
• Develop and 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 and failures
• Collaborate with data analysts, data scientists, and product teams to support reporting and advanced analytics needs
• Maintain and optimize data storage solutions (e.g., Azure Data Lake, Synapse) for cost and performance efficiency
• Establish and follow best practices for version control, CI/CD, and deployment of data pipelines
• Document data flows, transformations, and system dependencies

Required Qualifications:

• 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 (Azure preferred)

Preferred Qualifications:

• Experience implementing medallion architecture (bronze/silver/gold layers)
• Experience integrating multiple enterprise systems (CRM, ERP, SaaS platforms)
• Experience supporting analytics or BI environments

Required Knowledge and Skills:

• Strong proficiency in SQL and data transformation techniques
• Experience with Azure data services (Azure Data Factory, Azure Data Lake, Synapse Analytics)
• Expertise in ETL/ELT pipeline design and orchestration
• Strong understanding of data modeling (relational and dimensional)
• Experience working with APIs, file‑based ingestion, and streaming data sources
• Knowledge of data quality, validation, and error‑handling techniques
• Strong problem‑solving and troubleshooting skills

Preferred Knowledge and Skills:

• Experience with PySpark, Spark, or Databricks
• Familiarity with Delta Lake and lakehouse architectures
• Experience with CI/CD pipelines and DevOps practices in Azure
• Knowledge of data governance, lineage, and cataloging tools
• Experience optimizing performance and cost in cloud environments

Education Requirements:

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

Benefits & Other Compensation:

This position includes eligibility for the following benefits, subject to applicable plan terms:

• Healthcare Benefits – Medical, Dental, and Vision coverage
• Retirement Benefits – 401(k) with employer match (19 years of age and older)
• Time Off – Paid time off (PTO) and leaves of absence, in accordance with applicable law and eligibility criteria

Eligibility for benefits and the specific terms, conditions, and offerings are governed by the applicable plan documents and company policies, which may be amended at the Company’s discretion.

About Troon:

Founded in 1990 and headquartered in Scottsdale, AZ, Troon is the world’s largest professional club management company, that specializes in services in golf, hospitality, and residential communities. With more than 900 locations in 45+ states and 27+ countries, Troon is a leading employer in hospitality. Guided by values that emphasize being infectiously energetic, consciously kind, and humbly prosperous, Troon offers professionals the opportunity to grow and succeed within a globally respected organization. Learn more at www.troon.com.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.