Data Engineering Technical Lead - VP
San Diego HQ 4350, United States
USD 125K-150K Senior-level Full Time
Tasks
- Accelerate engineering with AI tools
- Design reusable data design patterns
- Develop and validate POCs and POVs
- Enforce CI CD and version control
- Implement data observability practices
- Integrate ML for pipeline anomaly detection
- Mentor data engineers
- Modernize legacy ETL pipelines
- Optimize Spark performance and compute cost
Perks/Benefits
- 401k match
- 529 Plan
- Dental insurance
- HSA or FSA
- Health insurance
- Life insurance
- Paid Holidays
- Paid sick leave
- Paid vacation
- Vision insurance
Skills/Tech-stack
Apache Airflow | Apache Iceberg | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | BigQuery | Cloud platform | Continuous Delivery | Continuous integration | DBT | Data Factory | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Fivetran | Git | GitHub Copilot | Google Cloud | Google Cloud Platform | Google Pub/Sub | Java | Kafka | Observability | Pub/Sub | Python | SQL | Scala | Streaming Ingestion | Synapse Analytics | Version control
Education
Regions
Countries
States
Cities
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