Data Engineer

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 Dev Ops 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,…