

VySystems
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 5+ years of experience in Snowflake, AWS, DataStage, and dbt. Contract length and pay rate are unspecified. Key skills include ETL/ELT pipeline development and strong SQL proficiency.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Texas, United States
-
🧠 - Skills detailed
#Data Pipeline #Vault #"ETL (Extract #Transform #Load)" #Scala #Snowflake #SQL Queries #dbt (data build tool) #Data Vault #SQL (Structured Query Language) #Data Engineering #Data Warehouse #SQL Server #Data Quality #Data Transformations #AWS (Amazon Web Services) #Cloud #DataStage
Role description
Hi,
Experience required- 5+ years
Job Title: Senior Data Engineer (Snowflake, AWS & DataStage)
We are seeking a Senior Data Engineer with strong experience in Snowflake, AWS, DataStage, and dbt/ELT tools to build and maintain scalable data warehouse solutions and data pipelines.
Key Responsibilities
• Design and develop ETL/ELT pipelines using DataStage, Snowflake, and dbt.
• Build and optimize cloud-based data solutions on AWS.
• Develop complex SQL queries and data transformations.
• Implement data warehouse and Data Vault modeling solutions.
• Ensure data quality, performance, and scalability.
• Collaborate with cross-functional teams to deliver business data requirements.
Required Skills
• Snowflake
• DataStage
• dbt or any ELT tool
• AWS Cloud
• Strong SQL Coding
• Data Warehousing Concepts
• Data Vault Modeling
Nice to Have
• Netezza
• SQL Server
Experience
5+ years of Data Engineering experience with expertise in cloud-based data platforms and data warehousing.
Hi,
Experience required- 5+ years
Job Title: Senior Data Engineer (Snowflake, AWS & DataStage)
We are seeking a Senior Data Engineer with strong experience in Snowflake, AWS, DataStage, and dbt/ELT tools to build and maintain scalable data warehouse solutions and data pipelines.
Key Responsibilities
• Design and develop ETL/ELT pipelines using DataStage, Snowflake, and dbt.
• Build and optimize cloud-based data solutions on AWS.
• Develop complex SQL queries and data transformations.
• Implement data warehouse and Data Vault modeling solutions.
• Ensure data quality, performance, and scalability.
• Collaborate with cross-functional teams to deliver business data requirements.
Required Skills
• Snowflake
• DataStage
• dbt or any ELT tool
• AWS Cloud
• Strong SQL Coding
• Data Warehousing Concepts
• Data Vault Modeling
Nice to Have
• Netezza
• SQL Server
Experience
5+ years of Data Engineering experience with expertise in cloud-based data platforms and data warehousing.






