Python Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Data Engineer, remote for 12 months, offering a competitive pay rate. Key skills include strong Python and SQL proficiency, experience with data pipelines, REST APIs, and cloud data environments like Snowflake and Airflow.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 13, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Airflow #Data Engineering #Scala #Data Pipeline #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #BigQuery #Cloud #REST API #Data Warehouse #Databricks #REST (Representational State Transfer) #Python #Data Lake #Redshift #Data Quality #S3 (Amazon Simple Storage Service) #Snowflake
Role description
Position: Python Data Engineer
Location: Remote
Duration: 12 Months
Job Description:
The Enterprise Data Platform team is seeking a Senior Data Engineer with proven experience in designing and building data pipelines for cloud data warehouses and data lakes.
Responsibilities:
• Collaborate with cross-functional stakeholders to gather and understand data requirements.
• Design and develop robust data pipelines in Python to import, transform, and load data into Snowflake and Data Lake environments.
• Ensure data quality and integrity throughout the pipeline lifecycle.
Required:
• Strong proficiency in Python and SQL.
• Demonstrated experience in building scalable data pipelines using Python.
• Hands-on experience extracting data from REST APIs and ingesting it into cloud data warehouses or data lakes.
• Experience working with Amazon S3 and building, scheduling, and maintaining DAGs in Airflow.
• Practical experience with programmatically interacting with any major cloud data warehouse or data lake (e.g., Snowflake, Redshift, BigQuery, Databricks, etc.).
Position: Python Data Engineer
Location: Remote
Duration: 12 Months
Job Description:
The Enterprise Data Platform team is seeking a Senior Data Engineer with proven experience in designing and building data pipelines for cloud data warehouses and data lakes.
Responsibilities:
• Collaborate with cross-functional stakeholders to gather and understand data requirements.
• Design and develop robust data pipelines in Python to import, transform, and load data into Snowflake and Data Lake environments.
• Ensure data quality and integrity throughout the pipeline lifecycle.
Required:
• Strong proficiency in Python and SQL.
• Demonstrated experience in building scalable data pipelines using Python.
• Hands-on experience extracting data from REST APIs and ingesting it into cloud data warehouses or data lakes.
• Experience working with Amazon S3 and building, scheduling, and maintaining DAGs in Airflow.
• Practical experience with programmatically interacting with any major cloud data warehouse or data lake (e.g., Snowflake, Redshift, BigQuery, Databricks, etc.).
