Matlen Silver
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include advanced SQL and Python proficiency, data integration, ETL/ELT development, and data governance experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
512
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🗓️ - Date
June 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chandler, AZ
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🧠 - Skills detailed
#Data Management #Data Processing #Data Governance #Data Quality #Metadata #Data Engineering #BI (Business Intelligence) #Data Integration #Data Lifecycle #SQL (Structured Query Language) #Data Pipeline #Data Modeling #"ETL (Extract #Transform #Load)" #Scala #Python
Role description
Senior Data Engineer
Seeking a Senior Data Engineer to design, develop, and maintain scalable data solutions that support business intelligence, analytics, and data-driven decision-making. This role will focus on building and optimizing data pipelines, ensuring data quality, and implementing best practices for data management and governance.
• Advanced proficiency in SQL and Python
• Strong experience with data integration, ETL/ELT development, and large-scale data processing
• Experience implementing data quality frameworks and automated validation processes
• Advanced knowledge of data modeling, metadata management, and data lifecycle practices
• Understanding of data governance, lineage, and control frameworks
Senior Data Engineer
Seeking a Senior Data Engineer to design, develop, and maintain scalable data solutions that support business intelligence, analytics, and data-driven decision-making. This role will focus on building and optimizing data pipelines, ensuring data quality, and implementing best practices for data management and governance.
• Advanced proficiency in SQL and Python
• Strong experience with data integration, ETL/ELT development, and large-scale data processing
• Experience implementing data quality frameworks and automated validation processes
• Advanced knowledge of data modeling, metadata management, and data lifecycle practices
• Understanding of data governance, lineage, and control frameworks
