Senior Staff Data Engineer
Tasks
- Drive performance and cost improvements across distributed processing workloads
- Lead architecture and implementation of ETL ELT pipelines
- Lead design reviews and provide code and architecture feedback
- Optimize graph serving data models and access patterns for responsive visualizations
- Own technical strategy for core data domains
- Participate in on call and lead incident follow throughs
- Partner with product and UI engineering to deliver low latency graph exploration
- Partner with product infrastructure security and analytics to define solutions
- Serve as primary technical lead for cross team initiatives
- Set and enforce data quality governance lineage observability and operational readiness
Perks/Benefits
- 401k match
- Accidental death and dismemberment
- Dental insurance
- Employee assistance program
- Equity eligibility
- Flexible spending accounts
- Flexible vacation policy
- Health insurance
- Life insurance
- Long-term disability
- Paid Holidays
- Paid parental leave
- Remote US based
- Short-term disability
- Sick leave
- Vision insurance
Skills/Tech-stack
AWS | Airflow | Apache Flink | Apache Spark | Azure | Batch Processing | CI/CD | Cassandra | Cloud platform | Continuous Delivery | DBT | Data Governance | Data Lineage | Data Modeling | Data Quality | Datadog | Distributed Systems | ELT | ETL | Google Cloud | Google Cloud Platform | Grafana | Graph Databases | Graph Serving | IAM | IGA | Infrastructure as Code | Kubernetes | Kubernetes operations | Observability | Prometheus | Query Optimization | SLO | SQL | Snowflake | Streaming Data | “as-code”
Education
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