We're looking for a Data DevOps Engineer with deep expertise across both data engineering and DevOps disciplines to join our growing team. This role is critical to our mission of building scalable, secure, and high-performing data infrastructure on AWS. You’ll work with cutting-edge tools and a modern cloud stack, ensuring data flows seamlessly from raw ingestion to business-ready insights.
What You’ll Do
Data Transformation & Delivery
Build and maintain Spark jobs running on EKS/EMR to cleanse and transform raw data into current, consumable layers
Leverage DBT for data modeling and transformation pipelines (DBT experience is a plus—not a must)
Manage and optimize consumption layers using Trino
Implement data quality checks and performance tuning across pipelines
DevOps & DataOps
Manage infrastructure as code and deploy using CI/CD best practices
Set up and maintain monitoring and alerting (CloudWatch, etc.)
Secure infrastructure using AWS Secrets Manager and Cognito
Handle access and security management in Snowflake
Maintain and enhance scheduling and orchestration using Airflow
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Compensation Planning
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