Principal Data Engineer
Tasks
- Architect end-to-end data pipelines
- Automate deployments with CI/CD
- Conduct architecture reviews
- Deploy cloud data solutions
- Design relational and NoSQL data models
- Establish data quality and governance
- Implement AI enhanced data pipelines
- Implement containerized data applications
- Integrate AI agents into data engineering workflows
- Mentor data engineers
- Modernize data platforms
- Support AI/ML workloads
Perks/Benefits
- Employee resource groups
- Family-friendly policies
- Healthcare benefits
- Hybrid work environment
- Leadership development
- Paid volunteer days
- Parental leave
- Retirement planning
- Training programs
- Tuition reimbursement
Skills/Tech-stack
AWS | Agile | Amazon Q | Apache Airflow | Argo CD | Autogen | CCPA | CI/CD | Confluence | Databricks | Datadog | Docker | EKS | EMR | Feature Stores | GDPR | GitHub | GitHub Actions | GitHub Copilot | GitOps | Glue | Java | Jira | Kafka | Kinesis | Kubernetes | LLM | Lambda | Langchain | Llamaindex | MCP | Model Context Protocol | MongoDB | PostgreSQL | Prompt engineering | RAG | RDS | S3 | SOC 2 | Snowflake | Spring Boot | Vector Databases
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Principal | Principal Data Engineer
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