Engineer II – Data Engineer
Tasks
- Build and operate ETL ELT pipelines using SQL and Python
- Collaborate across data lifecycle with analysts platform engineers and product partners
- Execute Agile continuous delivery with CI CD and observability
- Implement reusable pipeline patterns and standards
- Leverage Infrastructure as Code for pipeline repos and supporting infrastructure
- Participate in design sessions and code reviews for data systems
- Scope design and build scalable data pipelines
- Use orchestration transformation and delivery for analytics
Perks/Benefits
- 401k match
- Adoption Assistance
- Career mentorship
- Certification assistance
- Fertility assistance
- Health benefits
- Mental health benefits
- Tuition assistance
- Workplace flexibility
Skills/Tech-stack
Agile | Alerting | Apache Airflow | Backfills | CI/CD | DBT | Data Modeling | Data Quality | Data pipeline | Data pipeline orchestration | ELT | ETL | Error Handling | Git | Idempotency | Incremental processing | Infrastructure as Code | Logging | Monitoring | Pipeline Orchestration | Python | SQL | Snowflake | “as-code”
Education
Roles
Regions
Countries
States
Cities
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