Senior Data Engineer
Core
Design and build scalable ETL/ELT pipelines and data products on AWS to enable seamless information consumption and support downstream Data Science and GenAI initiatives.
Role type
Senior IC Data Engineer (Cloud & AI Infrastructure)
Builds
Enterprise-level data analytics platform, scalable ingestion pipelines, and AI infrastructure (SageMaker, Bedrock)
Domain
Cloud Data Engineering, Big Data, Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
AWS data services (Redshift, S3, Glue, Lambda), Python, PySpark, medallion architecture, lakehouse patterns, Terraform/IaC, CI/CD (GitHub Actions, AWS CodePipeline), data modeling (Star/Snowflake schemas), automated testing, observability
Preferred skills
Java/Scala, Google Cloud/Azure, AWS SageMaker/Bedrock integration, Claude Code/LLM tools
Technologies
AWS, Python, PySpark, Terraform, GitHub Actions, AWS CodePipeline, SageMaker, Bedrock, Redshift, Snowflake
Responsibilities
Design and develop high-quality, scalable ETL/ELT pipelines; build and enhance reusable platform capabilities for ingestion, transformation, and orchestration; architect infrastructure for AI initiatives using SageMaker and Bedrock; implement Infrastructure as Code and automated testing frameworks; perform data discovery and root cause analysis for data quality issues; lead code reviews and enforce data governance standards.
Seniority
Senior, hands-on IC