Data Engineer, Senior Staff
San Diego, California, United States of America
USD 158K-237K Senior-level Full Time
Tasks
- Automate data quality checks and anomaly detection
- Contribute to data architecture decisions and platform standards
- Define and monitor SLIs and SLOs for pipelines and platform availability
- Design build and maintain batch and streaming data pipelines
- Develop reusable data engineering frameworks libraries and templates
- Drive performance tuning and cost optimization for data workloads
- Establish standardized patterns for data modeling and transformation
- Implement end to end data workflows from ingestion to curated datasets
- Implement pipeline failure detection and self healing
- Implement security compliance and data governance controls
- Mentor junior engineers and provide technical guidance
- Partner with analytics application and platform teams for data needs
- Perform incident response and post incident reviews
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Batch data | Cost Optimization | Data Governance | Data Modeling | Data Observability | Data Quality | Databricks | Delta Lake | IAM | Incident Response | Monitoring and Alerting | NoSQL | Performance Tuning | Pipeline Orchestration | Python | SLI/SLO | SQL | Schema evolution | Streaming Data | Unity Catalog
Regions
Countries
States
Cities
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