Senior/Staff Data Engineer IV
Tasks
- Build production data pipelines
- Create datasets documentation and data access patterns
- Design data models for reporting and analytics
- Implement monitoring, alerting, and incident response
- Improve data observability and latency detection
- Ingest and transform fleet telemetry and business data
- Integrate data from APIs cloud services and databases
- Maintain data quality tests and validations
- Optimize data pipelines performance and reliability
- Provide technical leadership for data architecture and code quality
- Review designs and provide engineering feedback
- Support data governance access control and privacy
- Troubleshoot production data failures and inconsistencies
Perks/Benefits
- 401k match
- Employee stock options
- Employer paid medical plan contribution
- Flextime
- Health Savings Account contribution
- PTO
- Paid Holidays
Skills/Tech-stack
APIs | AWS ECS | AWS Glue | AWS Lambda | AWS S3 | Airflow | Alerting | Amazon Kinesis | Amazon RDS | Amazon Redshift | CI/CD | DBT | Dagster | Data Modeling | Data Quality | Docker | Event Driven | Event-driven architecture | Geospatial | Google BigQuery | Infrastructure as Code | IoT | Kubernetes | Microsoft SQL | Microsoft SQL Server | Monitoring | MySQL | Observability | PostgreSQL | Python | SQL | SQL Server | Snowflake | Time Series | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Senior Data Engineer | Staff Data Engineer
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