Data Engineer III
Tasks
- Build data foundations for AI and ML training datasets
- Build real time data access layers for AI systems
- Design CI CD and automated testing for data pipelines
- Design feature stores and embedding pipelines
- Establish monitoring and alerting with SLAs
- Implement data governance across data models and AI assets
- Implement data quality strategies and validation rules
- Integrate data solutions with MLOps and DevOps
- Lead architecture and design of data pipelines
- Mentor engineers and lead code reviews
- Migrate workloads and optimize compute
- Optimize Delta Lake table layouts and clustering
- Own data infrastructure health scalability and modernization
- Perform Delta Live Tables expectations for data quality
- Support data quality testing and troubleshooting
Perks/Benefits
- 401k match
- Adoption Assistance
- FSA
- Fertility assistance
- Group health insurance
- HSA
- Life and accident insurance
- Long-term disability
- Paid Holidays
- Paid parental leave
- Paid time off
- Short-term disability
Skills/Tech-stack
Alerting | Apache Spark | Automated testing | CI/CD | CloudFormation | Clustering | Compute Optimization | Cost attribution | Data Governance | Data Lakes | Data Management | Data Quality | Data Validation | Data virtualization | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Docker | ELT | ETL | Feature Store | FinOps | Kubernetes | Lakehouse Architecture | MLflow | Master Data | Master Data Management | Monitoring | Python | SQL | Structured Streaming | Terraform | Unity Catalog | Vector Search | Z-ordering
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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