Data Engineer III - Chandler, AZ

Dice is seeking an experienced Data Engineer III to join an Enterprise Data team focused on modernizing and consolidating cloud-based data platforms. The ideal candidate will design, develop, and optimize scalable data pipelines and ingestion frameworks to support analytics and reporting.

Responsibilities:

• Design, build, maintain, and optimize scalable and reliable data pipelines and ETL/ELT workflows
• Develop and enhance cloud-based data ingestion frameworks using AWS data services, including Glue and DataSync
• Build and support data solutions using Snowflake, dbt, and modern data engineering platforms
• Implement ingestion strategies for structured and unstructured data from databases, APIs, and streaming sources
• Ensure data quality, accuracy, security, and compliance across enterprise data platforms
• Develop and maintain scalable data models supporting analytics, reporting, and business intelligence needs
• Troubleshoot and resolve issues related to data pipelines, ingestion jobs, workflows, and data processing
• Monitor data ecosystem performance and perform performance tuning to identify and resolve bottlenecks
• Support real-time and near real-time data delivery requirements
• Integrate operational and QoS telemetry datasets to improve visibility and reporting capabilities
• Apply data governance standards, regulatory compliance requirements, and security best practices
• Partner with technical and business stakeholders to gather requirements and deliver scalable data architectures
• Provide technical guidance, communicate project status, and drive ownership of assigned deliverables

Requirements:

• 5+ years of experience in Data Engineering designing and supporting scalable data solutions
• Strong hands-on experience with: Snowflake, SQL, Python, dbt, ETL / ELT processes, Data Modeling
• Experience designing and developing enterprise-scale data pipelines
• Strong understanding of: Data ingestion frameworks, Extract, Transform, Load (ETL) processes, Workflow orchestration, Data quality management, Data governance
• Experience working with: Apache Kafka, Apache NiFi / Apache Flow-based tools, Streaming and batch processing frameworks
• Hands-on experience with Amazon Web Services (AWS) data services
• Experience handling structured and unstructured data sources
• Knowledge of databases, messaging platforms, and real-time data processing
• Experience with analytics, reporting, and operational data solutions
• Ability to perform data platform troubleshooting and performance optimization
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
• Experience building cloud-native enterprise data platforms
• Familiarity with: AWS Glue, AWS DataSync, Snowflake schema concepts, Modern data architecture patterns
• Experience supporting artificial intelligence and advanced analytics workloads
• Exposure to Apache HTTP Server and related infrastructure technologies