Intone
Python Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Data Engineer, offering a contract of "X months" at a pay rate of "$X/hour." Key skills include Python, SQL, cloud platforms (GCP/AWS/Azure), and Big Data technologies. Experience in ETL processes and data modeling is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Southlake, TX
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🧠 - Skills detailed
#Programming #AWS (Amazon Web Services) #Big Data #Data Processing #Python #BigQuery #Data Ingestion #SQL Queries #Data Pipeline #Data Architecture #Data Extraction #GCP (Google Cloud Platform) #Data Engineering #Version Control #Spark (Apache Spark) #Azure #Hadoop #Data Integration #SQL (Structured Query Language) #Cloud #Scala #Databases #Data Modeling #GIT #Code Reviews #Data Quality #"ETL (Extract #Transform #Load)"
Role description
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Python
Work hands-on with data ingestion, transformation, and loading processes (ETL/ELT)
Collaborate with data architects and business teams to define data solutions
Develop reusable frameworks for data processing and data quality
Optimize data workflows for performance and scalability
Work with cloud platforms such as GCP, AWS, or Azure
Ensure data quality, consistency, and governance across systems
Support production systems and troubleshoot data issues
Write complex SQL queries for data extraction and analysis
Participate in code reviews and enforce engineering best practices
Mandatory Skills
Strong expertise in Python programming (hands-on coding required)
Experience in building data pipelines and ETL processes
Proficiency in SQL and relational databases
Experience with cloud platforms (GCP/AWS/Azure)
Knowledge of BigQuery
Hands-on experience with Big Data technologies (e.g., Spark, Hadoop)
Experience with data integration tools and frameworks
Strong understanding of data modeling and data warehousing concepts
Experience with version control systems like Git
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Python
Work hands-on with data ingestion, transformation, and loading processes (ETL/ELT)
Collaborate with data architects and business teams to define data solutions
Develop reusable frameworks for data processing and data quality
Optimize data workflows for performance and scalability
Work with cloud platforms such as GCP, AWS, or Azure
Ensure data quality, consistency, and governance across systems
Support production systems and troubleshoot data issues
Write complex SQL queries for data extraction and analysis
Participate in code reviews and enforce engineering best practices
Mandatory Skills
Strong expertise in Python programming (hands-on coding required)
Experience in building data pipelines and ETL processes
Proficiency in SQL and relational databases
Experience with cloud platforms (GCP/AWS/Azure)
Knowledge of BigQuery
Hands-on experience with Big Data technologies (e.g., Spark, Hadoop)
Experience with data integration tools and frameworks
Strong understanding of data modeling and data warehousing concepts
Experience with version control systems like Git
