Sr. Data Engineer (AWS)

TL;DR

Sr. Data Engineer (AWS/Python): Designing and developing scalable multi-tenant data platforms and distributed systems on AWS with an accent on high-volume ETL/ELT pipelines and serverless orchestration. Focus on building backend APIs, supporting ML/MLOps workflows using SageMaker, and ensuring production system reliability through robust monitoring and automated validation.

Location: Remote

Company

hirify.global develops scalable enterprise solutions and multi-tenant data platforms.

What you will do

• Design and develop scalable multi-tenant data platforms and distributed systems on AWS.
• Build and optimize high-volume ETL/ELT pipelines using incremental processing techniques.
• Develop serverless applications and orchestration workflows using AWS Lambda and Step Functions.
• Create and maintain backend APIs, microservices, and event-driven architectures.
• Support ML lifecycle workflows including model training, deployment, and monitoring using SageMaker.
• Implement robust monitoring, logging, alerting, and automated data validation frameworks.

Requirements

• 6+ years of hands-on software or data engineering experience.
• Strong expertise in Python, SQL, Pandas, and PySpark.
• Deep experience with AWS stack: Lambda, Step Functions, Glue, S3, Athena, DynamoDB, ECS-Fargate, and SageMaker.
• Experience building serverless and data lake architectures.
• Backend/API development experience using REST APIs, microservices, and Node.js.
• Frontend development experience with Vue.js, Next.js, or React.

Nice to have

• Experience in Marketing Analytics, Attribution, or MMM domains.
• Infrastructure-as-Code experience using Terraform, CDK, or CloudFormation.
• Experience with TypeScript and Tailwind CSS.