Data Engineer, Staff
San Diego, California, United States of America
USD 132K-198K Senior-level Full Time
Tasks
- Automate and optimize data engineering workflows using AI based techniques
- Build end to end workflows from raw ingestion to curated analytical datasets
- Contribute to data architecture decisions platform standards and design guidelines
- Define and monitor SLIs and SLOs for pipeline and platform availability
- Design build and maintain scalable batch and streaming data pipelines
- Develop reusable data engineering frameworks libraries and templates
- Drive performance tuning and cost optimization
- Implement AI assisted monitoring and alerting for performance and operational anomalies
- Implement security compliance and data governance controls
- Implement standardized data modeling transformations and pipeline orchestration
- Mentor junior engineers and provide technical guidance
- Partner with analytics application and platform teams to identify data needs and gaps
- Perform incident response on call rotation and post incident reviews
Perks/Benefits
Skills/Tech-stack
AWS | Alerting | Artificial Intelligence | Cost Optimization | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data orchestration | Databricks | Delta Lake | IAM | Machine Learning | Monitoring | NoSQL | On-Call | Python | Resource utilization | SLI/SLO | SQL | Schema evolution | Security | Unity Catalog
Education
Roles
Regions
Countries
States
Cities
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