Kafka Engineer - AWS / Snowflake
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 6-month remote contract for a Kafka Engineer with expertise in AWS and Snowflake. Key skills include building real-time data pipelines and a deep understanding of event-driven architectures.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 12, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Kafka (Apache Kafka) #Data Pipeline #AWS (Amazon Web Services) #Snowflake #Cloud
Role description
We have a 6-month contract to hire position open for a Kafka Engineer with a background in AWS and Snowflake. The position is 100% remote.
Position Purpose:
Sr software engineer hands-on in building and managing real-time data pipelines using CentEvent, Native Kafka, Kafka Streams (KStream), and loading the data in Snowflake within the AWS cloud ecosystem.
Ability to work with Snowflake tables and procedures.
Deep understanding of event-driven architectures is absolute must.
Building and managing real-time data pipelines using CentEvent, Native Kafka, Kafka Streams (KStream), and loading the data in Snowflake within the AWS cloud ecosystem.
Deep understanding of event-driven architectures and queuing mechanism in AWS.
Ability to work with Snowflake tables and procedures.
We have a 6-month contract to hire position open for a Kafka Engineer with a background in AWS and Snowflake. The position is 100% remote.
Position Purpose:
Sr software engineer hands-on in building and managing real-time data pipelines using CentEvent, Native Kafka, Kafka Streams (KStream), and loading the data in Snowflake within the AWS cloud ecosystem.
Ability to work with Snowflake tables and procedures.
Deep understanding of event-driven architectures is absolute must.
Building and managing real-time data pipelines using CentEvent, Native Kafka, Kafka Streams (KStream), and loading the data in Snowflake within the AWS cloud ecosystem.
Deep understanding of event-driven architectures and queuing mechanism in AWS.
Ability to work with Snowflake tables and procedures.
