Staff Engineer - Data Engineering
Tasks
- Apply risk management for systems and data integrity
- Deploy data platforms to production
- Design and prototype data platforms
- Develop and test data processing pipelines
- Drive data platform architecture
- Implement testing strategies
- Improve engineering and data standards
- Own platform reliability scalability maintainability
- Partner with support and operations
- Provide technical leadership and execution
- Troubleshoot production data issues
Perks/Benefits
- 401k match
- Dental coverage
- Flexible spending account
- Flexible time off
- Health savings account
- Healthcare coverage
- Hybrid work
- Paid Holidays
- Paid parental leave
- Vision coverage
- Volunteer day
Skills/Tech-stack
AWS Glue | AWS Lambda | Agile | Amazon Airflow | Amazon Athena | Amazon CloudWatch | Amazon EKS | Amazon Kinesis | Amazon Redshift | Amazon S3 | Amazon SNS | Amazon SQS | Apache Iceberg | Apache Kafka | Apache Spark | Automated testing | Batch Processing | Big Data | CI/CD | Cloud infrastructure | Code Quality | Data Architecture | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Pipelines | Data Processing | Data Quality | Data Warehousing | Data integration | Databricks | Delta Lake | DevOps | Dimensional Modeling | ELT | ETL | Event Driven | Event-driven architecture | Feature Engineering | High Availability | Infrastructure as Code | Lakehouse | Lean | Logging | Machine Learning | Metadata Management | Model Deployment | Monitoring | Observability | Operationalization | Performance optimization | PySpark | Python | Real Time | Real-time Processing | SaaS | Scalable systems | Scrum | Secure Coding | Security | Snowflake | Snowflake Schema | Star Schema | Terraform | Time processing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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