IT Principal Data Engineering
Tasks
- Build end-to-end data science pipelines
- Conduct code reviews
- Define Data Science platform architecture
- Deploy model inference serving
- Design, develop, and optimize ETL pipelines
- Develop outbound data feeds
- Ensure data lineage, privacy, and security
- Establish data governance and quality practices
- Implement MLOps for model versioning and monitoring
- Perform feature engineering and model training
- Provide technical guidance and mentorship
- Translate technical concepts for stakeholders
Perks/Benefits
- 401k match
- Career development opportunities
- Dental insurance
- Employee assistance programs
- Employee referral program
- FSA/HSA
- Medical insurance
- Paid time off
- Tuition reimbursement
- Vision insurance
- Wellbeing program
Skills/Tech-stack
API | AWS | Apache Spark | Azure | Azure Synapse | BigQuery | Cloud platform | Data Modeling | Data Vault | Databricks | Distributed Systems | ETL | FTP | Feature Engineering | Feature Store | Google Cloud | Google Cloud Platform | Kimball | MLOps | MLflow | Model Inference | Model Monitoring | Model Training | NLP | PyTorch | Python | SQL | Scikit-learn | Snowflake | TensorFlow | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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