Principal Engineer, Data Infrastructure
Tasks
- Architect data ingestion systems
- Build batch and streaming pipelines
- Build reusable engineering frameworks
- Deploy and serve machine learning models
- Develop machine learning training pipelines
- Ensure end-to-end system reliability
- Establish technical direction and standards
- Evolve data lake infrastructure
- Implement monitoring and cost transparency
- Mentor engineers with architecture reviews
- Monitor models and data workloads
- Provide self service APIs for data and ML
Perks/Benefits
- Company matching 401k plan
- Flexible spending accounts
- Limited on call
- Medical, dental, vision benefits
- Paid parental leave
- Paid sick days
- Paid vacation
- Professional development
- Tuition reimbursement
Skills/Tech-stack
AWS Glue | AWS S3 | Airflow | Amazon Athena | Amazon DynamoDB | Apache Flink | Apache Iceberg | Apache Spark | Confluent Kafka | DBT | Data Governance | Distributed Training | Feature Engineering | Feature Store | Fivetran | Go | Google BigQuery | Java | Kubeflow | Kubernetes | LLM | Machine Learning | Model Registry | Model Serving | Privacy Compliance | Python | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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