Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," located in West Chester, PA, onsite. Key skills include AWS, PySpark, SQL, and 5+ years of data engineering experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
West Chester, PA
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🧠 - Skills detailed
#Scala #Data Engineering #SQL (Structured Query Language) #Data Pipeline #Java #Data Bricks #AWS (Amazon Web Services) #Cloud #Security #Data Processing #Data Governance #DevOps #Python #Documentation #PySpark #Data Framework #Data Quality #Spark (Apache Spark)
Role description
Data engineer -
West Chester - PA - ONSITE ( 5 days a week)
• Data bricks
• AWS
• Pyspark
• SQL
Writing clean, efficient, and maintainable code for data pipelines, data processing tasks, and data quality checks.Implementing unit tests and integration tests to ensure code quality and reliability.
• Troubleshooting and resolving technical issues related to the data framework.
• Staying abreast of the latest advancements in data engineering technologies and best practices.
To be successful in this role, you will need:
• 5+ years of experience in data engineering or a related field.
• +2 years Framework experience
• Proven experience in designing and developing scalable data frameworks using Python, Java, Spark, and Scala.
• Excellent communication and collaboration skills.
• A passion for data engineering and a commitment to continuous learning.
• Experience in code review and documentation is a plus.
• Experience with cloud platforms like AWS.
• Familiarity with data governance and security principles.
Experience with DevOps practices and tools
Data engineer -
West Chester - PA - ONSITE ( 5 days a week)
• Data bricks
• AWS
• Pyspark
• SQL
Writing clean, efficient, and maintainable code for data pipelines, data processing tasks, and data quality checks.Implementing unit tests and integration tests to ensure code quality and reliability.
• Troubleshooting and resolving technical issues related to the data framework.
• Staying abreast of the latest advancements in data engineering technologies and best practices.
To be successful in this role, you will need:
• 5+ years of experience in data engineering or a related field.
• +2 years Framework experience
• Proven experience in designing and developing scalable data frameworks using Python, Java, Spark, and Scala.
• Excellent communication and collaboration skills.
• A passion for data engineering and a commitment to continuous learning.
• Experience in code review and documentation is a plus.
• Experience with cloud platforms like AWS.
• Familiarity with data governance and security principles.
Experience with DevOps practices and tools
