Principal Data/AI Engineering
Tasks
- Architect data pipelines
- Build secure scalable microservices
- Collaborate with cross-functional teams
- Design data models
- Design testing strategies
- Develop APIs with documentation
- Develop and optimize scalable data and AI solutions
- Ensure data integrity with quality procedures
- Implement CI CD automation and version control
- Implement monitoring and cost optimization
- Mentor engineers and solve complex problems
- Oversee deployment and troubleshooting
- Select cloud and on premises technologies
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Disability benefits
- Employee assistance program
- Employee discounts
- Employee wellness programs
- Life and accidental death insurance
- Medical, dental & vision coverage
- Paid Holidays
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
API Development | Amazon Web Services | Apache Kafka | Apache Spark | Azure | CI/CD | Cloud platform | Data Modeling | Data Pipelines | Databricks | Google Cloud | Google Cloud Platform | GraphQL | HTTP | Java | Machine Learning | Microservices | Python | Quality Control | REST | SQL | Scala | Security | Snowflake | Statistical quality | Statistical quality control | Version control | Web Services
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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