Senior Data Engineer
Tasks
- Build batch microbatch and streaming data pipelines
- Collaborate on standards for data quality observability and lineage
- Configure data contracts and freshness SLAs
- Direct AI coding agents for engineering workflow
- Implement Snowflake RBAC and masking policies
- Ingest events with Kafka and Snowpipe Streaming
- Maintain CI/CD pipelines with quality gates
- Manage dbt lifecycle and documentation
- Monitor data quality and triage incidents
- Orchestrate workflows with Prefect on ECS Fargate
- Own AWS infrastructure with Terraform
- Provision Snowflake objects with Terraform
- Review AI generated pull requests and specifications
- Transform data with DBT
- Translate stakeholder requests and push back on architecture
- Tune Snowflake performance and cost
Perks/Benefits
- 401k match
- Commuter savings
- Dental insurance
- Disability insurance
- Employee resource groups
- Flexible paid time off
- Health care FSA
- Life insurance
- Medical insurance
- Ongoing skills training
- Professional development reimbursement
- Vision insurance
Skills/Tech-stack
AWS | AWS Glue | Apache Airflow | CI/CD | Cortex AISQL | DBT | Dagster | Data Contracts | Data Quality | Dynamic Tables | ECS Fargate | EMR Serverless | GitHub Actions | GitLab CI | IAM | Iceberg | Kafka | Lambda | Monte Carlo | Observability | Prefect | Python | RBAC | Row Level Security | S3 | SQL | Secrets Manager | Snowflake | Snowflake Cortex | Snowflake Notebooks | Snowflake Streams | Snowflake Tasks | Snowpark | Snowpipe Streaming | Streams & Tasks | Terraform | VPC
Education
Roles
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