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Data Engineer III
- Chandler, Arizona, United States
- Chandler, Arizona, United States
Über
Location: Chandler, AZ Can do Only w2, No C2C
Job Summary We are 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, ingestion frameworks, and data models supporting analytics, reporting, operational insights, and near real-time data delivery. This role requires strong expertise in cloud data engineering, AWS, Snowflake, SQL, Python, ETL/ELT frameworks, streaming technologies, and data governance. The candidate will collaborate with engineering teams and business stakeholders to translate requirements into secure, scalable, and high-performing data solutions.
Key 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.
Required Skills
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
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Sprachkenntnisse
- English
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