Data Engineering Technical Lead - VP
San Diego HQ 4350, United States
USD 125K-150K Senior-level Full Time
Tasks
- Apply machine learning for operational intelligence
- Architect reusable data design patterns
- Collaborate with cross-functional teams
- Develop and lead Proofs of Concept
- Enforce engineering best practices
- Leverage AI for pipeline acceleration
- Mentor data engineers
- Modernize legacy ETL pipelines
- Optimize performance and costs across cloud environments
Perks/Benefits
- 401k
- Bank Account with Trading
- Dental
- Employee Mortgage Loan
- FSA
- HSA
- Holidays
- Life insurance
- Medical
- Paid sick leave
- Retirement
- Vacation
- Vision
Skills/Tech-stack
AI-assisted engineering | AI-assisted engineering tools | Airflow | Apache Spark | Azure | Batch Processing | BigQuery | CI/CD | Census | Cloud Native | Cloud native pipelines | Cost Optimization | DBT | Data Architecture | Data Design | Data Design Patterns | Data Factory | Data Pipelines | Data modernization | Databricks | Design Patterns | Engineering Tools | Fivetran | GCP | Java | Kafka | Modern data architecture | Observability | Pipeline tuning | Pub/Sub | Python | SQL | Scala | Streaming | Synapse | Version control
Education
N/A
Regions
Countries
States
Cities
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