

Talent Groups
Snowflake Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills required include 5+ years in Snowflake, DBT, SQL, and 3+ years with Apache Airflow, focusing on cloud data solutions.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 29, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
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π - Location detailed
King of Prussia, PA
-
π§ - Skills detailed
#Data Pipeline #dbt (data build tool) #Apache Airflow #Airflow #Scala #Data Engineering #SQL (Structured Query Language) #Data Warehouse #Snowflake #Cloud
Role description
We are seeking an experienced Snowflake DBT Data Engineer to join our team. The ideal candidate will have strong expertise in Snowflake, DBT, SQL, and modern data warehousing concepts, with hands-on experience building scalable data pipelines and optimizing cloud-based data platforms.
5+ years of hands-on experience with Snowflake and advanced SQL development.
5+ years of experience with DBT, including model development and project implementation.
3+ years of experience with Apache Airflow for workflow orchestration.
Strong understanding of data warehouse concepts, dimensional modeling, and best practices.
Experience building scalable and high-performance cloud data solutions.
Excellent problem-solving and analytical skills.
We are seeking an experienced Snowflake DBT Data Engineer to join our team. The ideal candidate will have strong expertise in Snowflake, DBT, SQL, and modern data warehousing concepts, with hands-on experience building scalable data pipelines and optimizing cloud-based data platforms.
5+ years of hands-on experience with Snowflake and advanced SQL development.
5+ years of experience with DBT, including model development and project implementation.
3+ years of experience with Apache Airflow for workflow orchestration.
Strong understanding of data warehouse concepts, dimensional modeling, and best practices.
Experience building scalable and high-performance cloud data solutions.
Excellent problem-solving and analytical skills.






