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
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