AWS Data Platform Engineer - Remote Eligible

AWS Data Platform Engineer

Location: Remote in USA

Key Responsibilities

Preferred 6+ years of experience

AWS Data Lake Architecture & Setup

Design and maintain scalable AWS Data Lakes using:

• Amazon S3 for multi-zone data storage (raw, curated, processed)
• AWS Glue Jobs, Crawlers, and Data Catalog
• AWS Lake Formation for centralized governance and security
• Configure Lake Formation capabilities:
• Row/column-level access control
• Tag-based access control (LF-TBAC)
• Governed table permissions
• Cross-account data sharing
• Implement best practices in:
• Data partitioning
• Schema evolution
• Metadata and catalog management
• Build and optimize ingestion and ETL pipelines for batch or near-real-time workloads

AWS Serverless Development

Develop serverless applications using:

• Lambda
• API Gateway
• EventBridge
• SNS/SQS
• Step Functions
• Build and tune AWS Glue ETL jobs using Python and PySpark.
• Implement cost-efficient, highly scalable, event-driven architectures.

Monitoring, Logging & Observability

Implement monitoring and alerting using:

• Amazon CloudWatch Logs, Metrics & Dashboards
• CloudWatch Alarms for proactive incident detection
• Use CloudWatch Log Insights for log analytics and troubleshooting.
• Configure AWS X-Ray for distributed tracing and end-to-end visibility.
• Build automated alerts around:
• Lambda failures
• Glue job errors
• Data pipeline SLAs
• Performance anomalies

Data Engineering & Spark

Develop ETL pipelines using PySpark on AWS Glue or EMR.

Optimize Spark workloads for performance, cost, and scaling.

Troubleshoot distributed data issues and tune job performance.

Python Development

Write clean Python code for Lambda functions, Glue jobs, and automation tools.

Develop shared internal libraries for ETL, monitoring, and data governance.

Implement automated CI/CD delivery pipelines.

DevOps & Cloud Platform Automation

Use Infrastructure-as-Code tools including:

• Terraform (modules, workspaces, state management)
• AWS CloudFormation or CDK (optional but beneficial)
• Implement:
• Automated provisioning of AWS resources
• Version-controlled, repeatable deployments
• Secure IAM roles and resource policies
• Configure monitoring, alerting, logging pipelines, and operational dashboards.

The base salary range for this position is $92,250 - $131,786, plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies.

Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays.

The deadline to apply for this position is: 03/02/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible.