Senior Data Engineer
Tasks
- Build AWS infrastructure for data workloads
- Collaborate with Analytics, Data Science, and ML teams
- Configure data quality freshness SLAs and contracts
- Design build and operate data pipelines for Snowflake
- Direct AI coding agents in engineering workflow
- Implement Snowflake RBAC and data masking
- Maintain CI/CD pipelines with quality gates
- Own dbt lifecycle for modeling and documentation
- Stand up Snowflake infrastructure with Terraform
- Translate stakeholder requests into correct data architecture
- Tune Snowflake warehouses for cost and latency
Perks/Benefits
- 401k company match
- Commuter savings
- Dental insurance
- Disability insurance
- Employee resource groups
- Flexible paid time off
- Health care FSA
- Life insurance
- Medical insurance
- Professional development reimbursement
- Vision insurance
Skills/Tech-stack
AWS Fargate | AWS Glue | AWS Lambda | AWS S3 | AWS Secrets | AWS Secrets Manager | Airflow | Amazon ECS | CI/CD | Cortex AISQL | DBT | Dagster | Dynamic Tables | EMR Serverless | GitHub Actions | GitLab CI | IAM | Iceberg | Kafka | Monte Carlo | Prefect | Python | RBAC | SQL | Secrets Manager | Snowflake | Snowflake Cortex | Snowflake Cortex AISQL | Snowpipe Streaming | Terraform | VPC
Education
Roles
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