Compunnel, Inc.
Texas, Plano
01/08/2026
Contract
Active
Job Description Job Summary The AWS Cloud Engineer – Data Integration Specialist is responsible for designing, implementing, and optimizing enterprise-scale data integration solutions on the AWS platform. This role leverages serverless technologies, AWS CDK, and managed AWS services to build secure, scalable, and automated data pipelines, with a strong focus on SaaS and Salesforce data integration.
Key Responsibilities
Design and deploy cloud infrastructure using Infrastructure as Code (IaC) with AWS Cloud Development Kit (CDK) using Python.
Build and manage AppFlow integrations (both standard and custom) between Salesforce and AWS services.
Develop AWS Lambda functions to support data transformation, validation, and processing.
Implement and maintain S3-based data lake architectures for structured and semi-structured data.
Configure and manage Amazon Aurora databases, including connectivity, querying, and performance optimization.
Design end-to-end data pipeline architectures supporting batch and real-time data processing.
Implement event-driven and serverless data processing workflows.
Create and maintain automated deployment and release pipelines.
Monitor, troubleshoot, and optimize data integration workflows to ensure reliability and performance.
Collaborate with cross-functional teams to align data integration solutions with business and security requirements.
Required Qualifications
5+ years of hands‑on experience in AWS cloud development.
3+ years of experience implementing Infrastructure as Code using AWS CDK and/or CloudFormation.
Strong experience with serverless architectures, including AWS Lambda and event‑driven designs.
Hands‑on experience integrating Salesforce data using AppFlow and APIs.
Proficiency in Python for cloud development and automation.
Strong experience writing and executing SQL for data analysis and manipulation.
Working knowledge of SOQL for Salesforce data queries.
Experience working with REST APIs and JSON‑based integrations.
Hands‑on experience with Amazon S3, Amazon Aurora, and DynamoDB.
Strong understanding of ETL processes, data pipelines, and enterprise data integration patterns.
Experience building and testing unit and integration tests for cloud‑based solutions.
Preferred Qualifications
Knowledge of data governance, security, and compliance best practices in cloud environments.
Familiarity with Agile development methodologies and delivery models.
Certifications
AWS Certified Solutions Architect (preferred)
#J-18808-Ljbffr
01/08/2026
Contract
Active
Job Description Job Summary The AWS Cloud Engineer – Data Integration Specialist is responsible for designing, implementing, and optimizing enterprise-scale data integration solutions on the AWS platform. This role leverages serverless technologies, AWS CDK, and managed AWS services to build secure, scalable, and automated data pipelines, with a strong focus on SaaS and Salesforce data integration.
Key Responsibilities
Design and deploy cloud infrastructure using Infrastructure as Code (IaC) with AWS Cloud Development Kit (CDK) using Python.
Build and manage AppFlow integrations (both standard and custom) between Salesforce and AWS services.
Develop AWS Lambda functions to support data transformation, validation, and processing.
Implement and maintain S3-based data lake architectures for structured and semi-structured data.
Configure and manage Amazon Aurora databases, including connectivity, querying, and performance optimization.
Design end-to-end data pipeline architectures supporting batch and real-time data processing.
Implement event-driven and serverless data processing workflows.
Create and maintain automated deployment and release pipelines.
Monitor, troubleshoot, and optimize data integration workflows to ensure reliability and performance.
Collaborate with cross-functional teams to align data integration solutions with business and security requirements.
Required Qualifications
5+ years of hands‑on experience in AWS cloud development.
3+ years of experience implementing Infrastructure as Code using AWS CDK and/or CloudFormation.
Strong experience with serverless architectures, including AWS Lambda and event‑driven designs.
Hands‑on experience integrating Salesforce data using AppFlow and APIs.
Proficiency in Python for cloud development and automation.
Strong experience writing and executing SQL for data analysis and manipulation.
Working knowledge of SOQL for Salesforce data queries.
Experience working with REST APIs and JSON‑based integrations.
Hands‑on experience with Amazon S3, Amazon Aurora, and DynamoDB.
Strong understanding of ETL processes, data pipelines, and enterprise data integration patterns.
Experience building and testing unit and integration tests for cloud‑based solutions.
Preferred Qualifications
Knowledge of data governance, security, and compliance best practices in cloud environments.
Familiarity with Agile development methodologies and delivery models.
Certifications
AWS Certified Solutions Architect (preferred)
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