WB Solutions LLC
Data Engineer With Mulesoft EXP
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 8+ years of experience, focusing on AWS, Snowflake, Kafka, and MuleSoft. Contract length is unspecified, with a competitive pay rate. Key skills include data pipeline development, cloud data lakes, and real-time processing.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 26, 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
Plano, TX
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🧠 - Skills detailed
#Data Engineering #Complex Queries #Cloud #Athena #Batch #S3 (Amazon Simple Storage Service) #Tableau #Data Pipeline #Data Processing #Data Quality #Snowflake #Deployment #Data Lake #Kafka (Apache Kafka) #Visualization #Monitoring #IAM (Identity and Access Management) #Scala #AWS (Amazon Web Services) #API (Application Programming Interface) #Security #Data Modeling #Apache Kafka
Role description
Data Engineer with Mulesoft Exp.
Job Summary
We are looking for a Data Engineer (8+ Years Experience) to design, build, and optimize scalable data platforms on AWS. The ideal candidate has strong experience with Snowflake, Kafka, MuleSoft, and AWS-native analytics services, and can support both real-time and batch data processing while enabling reporting and advanced analytics. Key
Responsibilities
Design, develop, and maintain scalable data pipelines using AWS services Build and manage cloud-based data lakes on Amazon S3
Implement and optimize Snowflake data models for reporting and analytics Develop real-time streaming solutions using Apache Kafka
Integrate enterprise systems using MuleSoft APIs and connectors Deploy and manage containerized data workloads on AWS EKS
Write and optimize complex queries using Amazon Athena Ensure data quality, reliability, security, and performance across platforms
Collaborate with analysts and business teams to support Tableau dashboards and reporting Troubleshoot production data issues and optimize system performance
Mandatory Skills
AWS Cloud Services (S3, Athena, EKS, IAM, monitoring)
Snowflake (data modeling, performance tuning, reporting)
Apache Kafka (streaming, producers/consumers, real-time pipelines)
MuleSoft (API-based integrations, enterprise data flows)
Amazon EKS (container orchestration, deployment)
Querying Tools:
Amazon Athena Data Lakes: S3-based data lake architecture
Reporting: Snowflake reporting layer
Analytics & Visualization: Tableau
Data Engineer with Mulesoft Exp.
Job Summary
We are looking for a Data Engineer (8+ Years Experience) to design, build, and optimize scalable data platforms on AWS. The ideal candidate has strong experience with Snowflake, Kafka, MuleSoft, and AWS-native analytics services, and can support both real-time and batch data processing while enabling reporting and advanced analytics. Key
Responsibilities
Design, develop, and maintain scalable data pipelines using AWS services Build and manage cloud-based data lakes on Amazon S3
Implement and optimize Snowflake data models for reporting and analytics Develop real-time streaming solutions using Apache Kafka
Integrate enterprise systems using MuleSoft APIs and connectors Deploy and manage containerized data workloads on AWS EKS
Write and optimize complex queries using Amazon Athena Ensure data quality, reliability, security, and performance across platforms
Collaborate with analysts and business teams to support Tableau dashboards and reporting Troubleshoot production data issues and optimize system performance
Mandatory Skills
AWS Cloud Services (S3, Athena, EKS, IAM, monitoring)
Snowflake (data modeling, performance tuning, reporting)
Apache Kafka (streaming, producers/consumers, real-time pipelines)
MuleSoft (API-based integrations, enterprise data flows)
Amazon EKS (container orchestration, deployment)
Querying Tools:
Amazon Athena Data Lakes: S3-based data lake architecture
Reporting: Snowflake reporting layer
Analytics & Visualization: Tableau
