Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python)
San Diego, California, United States of America
USD 128K-192K Senior-level Full Time
Tasks
- Adopt Databricks features and automation patterns
- Build curated data layers
- Build data APIs and app integrated data services
- Collaborate with analytics AI ML and application teams
- Define best practices and mentor teams
- Design ETL/ELT pipelines
- Develop Databricks native data applications
- Develop modular data transformation frameworks
- Ensure data correctness and SLA adherence
- Implement data quality checks and anomaly detection
- Implement observability and alerting
- Monitor and troubleshoot production pipelines
- Optimize Apache Spark jobs
- Optimize Databricks workloads
- Participate in architecture reviews and design discussions
- Translate requirements into data pipelines and applications
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | Apache Spark | CI/CD | Cause analysis | Data Governance | Data Modeling | Data Quality | Data Security | Databricks | ELT | ETL | Git | Kafka | Lakehouse | Monitoring | PySpark | Python | Root Cause Analysis | Root cause | SQL | Structured Streaming | Unity Catalog
Regions
Countries
States
Cities
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