Data Engineer (Analytics)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Analytics) with a contract length of "unknown" and a pay rate of "unknown." Required skills include SAS, Spark, Python, Hive SQL, and experience in data engineering and machine learning. Applicants must have the legal right to work in the U.S. without sponsorship.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Scottsdale, AZ
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🧠 - Skills detailed
#Databases #Python #Data Science #Observability #SAS #Documentation #Indexing #Spark (Apache Spark) #Storage #Data Engineering #Monitoring #AWS (Amazon Web Services) #SQL (Structured Query Language) #Data Ingestion #Hadoop #ML (Machine Learning) #S3 (Amazon Simple Storage Service)
Role description
Applicants must have the legal right to work in the United States without sponsorship for employment visa status. C2C PLEASE DO NOT APPLY.
This role is responsible for building and modernizing Data Science Tools and Data Assets.
Qualifications:
• Experience with SAS and able to convert in Spark and Python.
• Hive SQL
• Spark
• Software/data engineering in Python
• Machine Learning toolkits in Python/Spark
• Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
• Relational databases, optimizing/tuning queries, indexing, partitioning, etc.
Responsibilities:
• Write data infrastructure & analytics software tools for Data Science.
• Guide Data Scientists on best practices in software engineering.
• Modernize existing SAS and Hive SQL codebase to higher performance structures leveraging parallel computing capabilities
• Instrument data feeds for observability, profiling, and monitoring
• Develop shared resources to support Data Science work such as automated profiling and analysis tools
• Write detailed, complete, and enduring documentation to enable long term support
• Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data
Applicants must have the legal right to work in the United States without sponsorship for employment visa status. C2C PLEASE DO NOT APPLY.
This role is responsible for building and modernizing Data Science Tools and Data Assets.
Qualifications:
• Experience with SAS and able to convert in Spark and Python.
• Hive SQL
• Spark
• Software/data engineering in Python
• Machine Learning toolkits in Python/Spark
• Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
• Relational databases, optimizing/tuning queries, indexing, partitioning, etc.
Responsibilities:
• Write data infrastructure & analytics software tools for Data Science.
• Guide Data Scientists on best practices in software engineering.
• Modernize existing SAS and Hive SQL codebase to higher performance structures leveraging parallel computing capabilities
• Instrument data feeds for observability, profiling, and monitoring
• Develop shared resources to support Data Science work such as automated profiling and analysis tools
• Write detailed, complete, and enduring documentation to enable long term support
• Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data
