Senior Data Engineer
USD 95K-167K Senior-level Full Time
Tasks
- Build deploy and manage machine learning applications
- Build reusable code libraries and frameworks
- Design enterprise data warehouse platforms
- Develop scalable data pipelines
- Enable conversational analytics with custom datasets
- Enhance data models
- Ensure data quality, integrity, and security
- Optimize data pipeline performance
- Orchestrate scheduling and workflows
- Provide data acquisition and consumption expertise
Perks/Benefits
- Charitable contribution match programs
- Generous time off
- Professional development opportunities
- Remote work
- Stock purchase opportunities
- Tuition reimbursement
Skills/Tech-stack
ACID transactions | ARM Templates | Access Control | Apache Spark | Attribute-Based Access Control | Attribute-based access | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Functions | CI/CD | Change Data Capture | Cloud Native | Cloud native design | Data Architecture | Data Capture | Data Factory | Data Governance | Data Modeling | Data Warehouse | Databricks Agents Bricks | Databricks Genie | Databricks SQL | Delta Lake | Dimensional Modeling | Distributed Systems | ELT | ETL | Event Hubs | Git | Infrastructure as Code | Kafka | Lakehouse | MCP servers | Machine Learning | PySpark | Python | Role-Based Access | Role-Based Access Control | SQL | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
Regions
Countries
States
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