Staff Engineer - Data Engineering
Tasks
- Build data strategy
- Collaborate with product managers and designers
- Deliver stories to production
- Design data architecture
- Develop product feature descriptions
- Develop tests for quality and scalability
- Implement data platforms
- Improve engineering and data standards
- Lead data and technical planning
- Own data systems long term health
- Prototype data solutions
- Resolve production issues with support and operations
- Support risk management and data confidentiality
Perks/Benefits
- 401k company match
- Dental coverage
- Family planning support
- Health savings account employer contributions
- Healthcare coverage
- Hybrid work model
- Paid Holidays
- Paid parental leave
- Paid time off
- Vision coverage
- Volunteer day
Skills/Tech-stack
ACH | AWS | AWS SageMaker | Aerospike | Agile | AppDynamics | Artificial Intelligence | Azure | Batch Processing | Big Data | Business Intelligence | CI/CD | Cloud infrastructure | Cloud platform | Data Robot | Data Warehouse | Data pipeline | Data replication | Database performance | Database performance tuning | DevOps | DevSecOps | Distributed Systems | EFT | ETL | Elasticsearch | Event Driven | Event-driven architecture | Feature Engineering | FedNow | Google Cloud | Google Cloud Platform | HDFS | IBM InfoSphere | Kafka | Kubernetes | Machine Learning | Microservices | Model Monitoring | Observability | Oracle | Performance Tuning | PubSub | PySpark | Python | R | RabbitMQ | Real Time | Real-time Processing | Real-time payment | SDLC | SQL | SQL Server | Scality S3 | Scikit-learn | Scrum | Secure Coding | Spark | TensorFlow | Testing | Time processing
Education
Regions
Countries
States
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