Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python)
San Diego, California, United States of America
USD 128K-192K Senior-level Full Time
Tasks
- Build and manage curated lakehouse data layers
- Build data APIs and app integrated data services
- Collaborate with analytics AI ML and application teams
- Contribute to observability alerting and operational automation
- Define best practices and mentor teams
- Design and develop Databricks native data applications
- Design develop maintain scalable ETL pipelines
- Develop reusable modular data transformation frameworks
- Ensure SLA adherence and data correctness
- Evaluate and adopt modern Databricks features and automation patterns
- Implement data quality checks and anomaly detection
- Improve scalability and reliability of Databricks workloads
- Monitor troubleshoot and perform root cause analysis for pipelines and apps
- Optimize Apache Spark jobs for performance and cost
- Participate in architecture reviews and design discussions
- Translate requirements into data pipelines and data applications
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS IAM | Amazon EC2 | Amazon S3 | Anomaly Detection | Apache Spark | CI/CD | Cause analysis | Data Governance | Data Quality | Data Reliability | Data Security | Databricks | ELT | ETL | Git | Kafka | Lakehouse | Lakehouse Medallion | Monitoring | NoSQL | PySpark | Python | Root Cause Analysis | Root cause | SQL | Structured Streaming | Unity Catalog
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
Cities
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