Staff Software Engineer, Data Infrastructure
Tasks
- Architect data pipelines for real-time and batch analytics
- Build data APIs and services for analytics
- Contribute to hiring and technical assessments
- Define data platform technical strategy
- Design scalable data infrastructure
- Develop data orchestration workflows
- Drive performance optimization and cost management
- Enable business intelligence and machine learning analytics
- Establish disaster recovery and business continuity
- Implement data quality frameworks and automated testing
- Implement data transformations and modeling
- Lead technical standards and best practices adoption
- Mentor engineers and conduct technical design reviews
- Operate monitoring alerting and incident response
- Optimize Snowflake performance and cost
- Translate analytics requirements into technical solutions
Perks/Benefits
- Equity
- Flexible work arrangements
- Holidays vary by country
- Home office setup
- Medical benefits
- PTO
- Paid parental leave
- Remote-first culture
- Retirement benefits
- Technology stipend
- Training stipend
Skills/Tech-stack
AWS | Alerting | Apache Airflow | Business Continuity | CCPA | CI/CD | Container Technologies | DBT | Data APIs | Data Governance | Data Modeling | Data Quality | Data Warehousing | Dimensional Modeling | Disaster Recovery | Event Driven | Event-driven architecture | GDPR | Incident Response | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Monitoring | Python | Real Time | Real-time analytics | SQL | Sigma | Snowflake | Stream processing | “as-code”
Education
Roles
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