Sr. Data Engineer (HYBRID)
Core
Design, implement, and maintain scalable data architecture, pipelines, and modeling strategies powering an enterprise data warehouse on AWS.
Role type
Senior hands-on IC data engineer
Builds
Enterprise data warehouse, data pipelines, and integrated tools for self-service analytics
Domain
Technology / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
AWS data ecosystem (Redshift, Glue, Athena, EMR, Lambda, S3), SQL, Python, data modeling (star schemas, dimensional modeling), ELT/analytics engineering (dbt), data quality checks, technical documentation
Preferred skills
Prior leadership or mentorship experience, experience with structured/semi-structured/unstructured data, observability tools
Technologies
AWS, Redshift, Glue, Athena, EMR, Lambda, S3, DynamoDB, Redis, dbt, Git
Responsibilities
Design and maintain scalable data architecture and pipelines; Build and manage data models and schemas; Monitor and optimize data jobs; Implement data quality checks and validation rules; Partner with Data Science and Analytics teams to deliver datasets; Drive improvements in data lineage and cataloging; Create and maintain technical documentation and version-controlled workflows
Seniority
Senior, hands-on IC
