Senior Data Engineer
Tasks
- Administer and tune AWS infrastructure for data workloads
- Build batch and streaming data pipelines
- Collaborate with cross-functional teams to meet data needs
- Design scalable data architectures and models
- Develop MLOps pipelines for model deployment and monitoring
- Implement data warehouse and dimensional modeling
- Manage ETL and ELT processes
- Optimize database performance and scalability
- Orchestrate data workflows using Airflow and DBT
- Reduce technical debt through continuous process improvement
Perks/Benefits
- 401k matching
- Disability insurance
- Flexible PTO
- Free therapy access for employees and one household member
- Friends and family discount
- HSA/FSA
- Life insurance
- Medical/Dental/Vision insurance
- Pet insurance
- Remote-first environment
- Team events
- Wellness stipend
Skills/Tech-stack
AWS | AWS CDK | Amazon Redshift | Apache Airflow | CircleCI | DBT | Data Modeling | Database performance | Database performance tuning | Dimensional Modeling | ELT | ETL | Google Looker | Infrastructure as Code | MLOps | Machine Learning | Machine learning model deployment | Model Deployment | Performance Tuning | Python | SQL | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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