Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "$/hour". Key skills required include Python, SQL, AWS (S3, Redshift, Athena, Glue Jobs), DBT, Informatica, and PySpark. Experience in the Insurance domain is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 16, 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
California, United States
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🧠 - Skills detailed
#Informatica #Snowflake #Scala #Data Modeling #Redshift #S3 (Amazon Simple Storage Service) #Data Processing #dbt (data build tool) #Spark (Apache Spark) #Spark SQL #SQL (Structured Query Language) #Data Engineering #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Athena #PySpark #Data Pipeline #Python
Role description
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• Design, develop, and optimize scalable data pipelines and workflows.
• Work with structured and semi-structured data using Python, PySpark, SQL, and AWS services (Athena, Redshift, Glue Jobs, S3).
• Integrate and transform data for reporting and analytics using DBT (Data Build Tool).
• Develop ETL/ELT pipelines leveraging Informatica and Snowflake for high-performance data processing.
• Collaborate with stakeholders from the Insurance domain to understand data needs and translate them into technical solutions.
• Strong experience in Python and SQL for data transformation.
• Hands-on experience with AWS:
• S3, Redshift, Athena, Glue Jobs
• Experience with DBT (Data Build Tool) for data transformation and modeling.
• PySpark development for large-scale data processing.
• Informatica for enterprise-level ETL workflows.
• Working knowledge of Snowflake: data modeling, SQL optimization, and integration.
