Saxon Global
Fivetran Data Engineers
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for Fivetran Data Engineers in Austin, TX, lasting 12+ months, with a pay rate of "unknown." Key skills include SQL, Python, and experience with AWS, Azure, Google Cloud, Fivetran, and data warehousing concepts.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 12, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, Texas Metropolitan Area
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Modeling #SQL (Structured Query Language) #Python #Azure #Fivetran #Data Engineering #dbt (data build tool) #AWS (Amazon Web Services) #Schema Design #BigQuery #Scripting #Snowflake #Data Pipeline #Cloud #Scala #Data Warehouse #Data Manipulation
Role description
Required Skills: AWS, Azure, Google Cloud
Job Description
Position: Fivetran Data Engineers
Location: Austin, TX (Onsite)
Duration: 12+ Months
Fivetran Data Pipeline
Key Skills and Qualifications typically required:
Proficiency in SQL and Python: Essential for data manipulation, scripting, and potentially building custom Fivetran connectors.
Experience with Modern Data Stack Tools: Strong familiarity with Fivetran, alongside data warehouses (e.g., Snowflake, BigQuery), and data transformation tools (e.g., dbt).
Understanding of Data Modeling and Architecture: Knowledge of data warehousing concepts, schema design, and best practices for building scalable data solutions.
Cloud Platform Experience: Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as Fivetran operates in a cloud-native environment.
Problem-Solving and Analytical Skills: Ability to analyze complex data problems, identify solutions, and optimize data processes.
Required Skills: AWS, Azure, Google Cloud
Job Description
Position: Fivetran Data Engineers
Location: Austin, TX (Onsite)
Duration: 12+ Months
Fivetran Data Pipeline
Key Skills and Qualifications typically required:
Proficiency in SQL and Python: Essential for data manipulation, scripting, and potentially building custom Fivetran connectors.
Experience with Modern Data Stack Tools: Strong familiarity with Fivetran, alongside data warehouses (e.g., Snowflake, BigQuery), and data transformation tools (e.g., dbt).
Understanding of Data Modeling and Architecture: Knowledge of data warehousing concepts, schema design, and best practices for building scalable data solutions.
Cloud Platform Experience: Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as Fivetran operates in a cloud-native environment.
Problem-Solving and Analytical Skills: Ability to analyze complex data problems, identify solutions, and optimize data processes.
