> Markdown version of [/jobs/ext/2623627-data-engineer](https://www.wearedevelopers.com/jobs/ext/2623627-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** 5 TROONS, LLC - **Location:** Scottsdale, AZ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Microsoft Azure, Software as a Service, Cloud Computing, Configuration Management, Program Optimization, Information Systems, Databases, Continuous Delivery, Continuous Integration, Data Cleansing, Information Engineering, Data Files, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, DevOps, Document-Oriented Databases, Performance Tuning, Systems Development Life Cycle, Azure Data Lake, SQL Databases, Data Streaming, Systems Integration, Data Logging, Enterprise Software Applications, Data Storage Technologies, Cloud Platform System, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Information Technology, Data Management, Api Design, Azure Synapse Analytics, Software Version Control, Data Pipelines, Databricks - **Published:** August 19, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-scottsdale-az--54d7cced-a0b4-4a79-9671-63f393608801 ## About the Role * 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., Application Programming Interface (API), Best Practices, Business Intelligence, Cataloguing, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Customer Relationship Management (CRM), Data Analysis, Data Cleaning, Data Lake, Data Management, Data Modeling, Data Quality, Data Science, Data Sets, Data Storage, Database Extract Transform and Load (ETL), DevOps, ERP (Enterprise Resource Planning), Ecosystems, Error Handling, Identify Issues, Information Technology & Information Systems, Microsoft Windows Azure, Performance Tuning/Optimization, Problem Solving Skills, Process Management, Product Support, SQL (Structured Query Language), Scalable System Development, Software as a Service (SaaS), Source Code/Configuration Management (SCM), Structured Data, System Integration (SI), Technical Leadership, Technical/Engineering Design ## 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., * 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 ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)