Senior ETL Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior ETL Developer in Charlotte, NC, for 6 months+. Pay rate is competitive. Requires 5+ years ETL experience, proficiency in PySpark, Python, and advanced SQL, with cloud ETL architecture experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 7, 2025
🕒 - Project duration
More than 6 months
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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
Charlotte, NC
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🧠 - Skills detailed
#PostgreSQL #Spark SQL #Apache Airflow #Agile #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Code Reviews #Airflow #SQL Server #SQL (Structured Query Language) #Databases #Security #Data Governance #Data Processing #Azure #GCP (Google Cloud Platform) #Scala #AWS S3 (Amazon Simple Storage Service) #Oracle #Python #Spark (Apache Spark) #Deployment #Scrum #PySpark #Data Transformations #"ETL (Extract #Transform #Load)" #Cloud
Role description
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Role: Senior ETL Developer – PySpark/Python
Location Charlotte, NC | Onsite (4 days/week)
Duration: 6 months+
Key Responsibilities
• Design and maintain scalable ETL pipelines using PySpark and Python
• Implement validation logic and manage data transformations
• Extract and load data across Oracle, PostgreSQL, and SQL Server
• Optimize Spark-based workflows on AWS cloud infrastructure
• Collaborate with cross-functional teams to define and deliver data requirements
• Perform code reviews and support testing, QA, and deployment
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Minimum Qualifications
• 5+ years of ETL development across large data environments
• Proficiency with PySpark and Python for distributed data processing
• Advanced SQL and hands-on experience with relational databases
• Experience with cloud ETL architecture (AWS, Azure, or GCP)
• Must be authorized to work in the U.S. and onsite 4 days/week
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Core Tech Environment
Airflow, AWS (S3, Glue, EMR), DataFrames, Oracle, PostgreSQL, PySpark (3.x), Python (3.x), SQL Server, Spark SQL
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Preferred Skills
• Familiarity with Apache Airflow or equivalent orchestration tools
• Understanding of data governance and security protocols
• Background in Agile or Scrum project delivery
