AWS Cloud Engineer - Data Integration Specialist

Compunnel, Inc.; Plano (TX); On-site; USD 110,000 - 130,000; Full time

Job summary

A technology solutions company is seeking an AWS Cloud Engineer – Data Integration Specialist. This role involves designing and implementing enterprise-scale data integration solutions on AWS, leveraging serverless technologies and managed AWS services. Candidates should have extensive experience in AWS development, Infrastructure as Code, and data integration, especially with Salesforce. The position requires proficiency in Python and experience with data pipelines and ETL processes. Join us to drive innovative data solutions.

Qualifications

• 5+ years of experience in AWS cloud development.
• 3+ years using Infrastructure as Code with AWS CDK.
• Proven skills in integrating Salesforce data.

Responsibilities

• Design and deploy cloud infrastructures using IaC.
• Build AppFlow integrations between Salesforce and AWS.
• Implement S3-based data lake architectures.

Skills

AWS Cloud Development

Python

Serverless Architectures

Data Integration

SQL

AppFlow

Tools

AWS CDK

Amazon S3

Amazon Aurora

DynamoDB

Job description

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)