Senior Data Engineer - Vice President
USD 125K-188K Senior-level Full Time
Tasks
- Build and maintain scalable data pipelines
- Communicate progress with stakeholders and clients
- Design ETL/ELT pipelines
- Develop data federation solutions with Starburst connectors
- Enforce data quality schema evolution and governance
- Implement lakehouse architecture with Delta Lake
- Lead data architecture for enterprise data platforms
- Manage agile/sprint planning and delivery
- Mentor junior engineers and promote best practices
- Optimize Spark workloads and Databricks clusters
- Optimize data storage for cost and efficiency
- Resolve performance bottlenecks in pipelines and queries
Perks/Benefits
- 401k
- Disability insurance
- Life insurance
- Medical, dental & vision coverage
- Paid Holidays
- Paid time off
- Wellness programs
Skills/Tech-stack
AWS Glue | AWS Lambda | Agentic AI | Agile | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Iceberg | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | BigQuery | Cloud Composer | Cloud Dataflow | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Quality | Databricks | Delta Lake | Docker | ELT | ETL | Google Cloud | Google Cloud Composer | Google Cloud Dataflow | Kubernetes | Machine Learning | PySpark | Python | RAG | RBAC | Scrum | Snowflake | Snowpipe | Spark SQL | Starburst | Synapse Analytics | Time Travel | Trino | Unity Catalog | Vector Databases
Education
Roles
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