Data Platform Engineer II - Corporate Office (Austin, MN preferred)
Tasks
- Create and maintain technical documentation onboarding materials training and runbooks
- Design implement and support CI/CD frameworks and deployment automation
- Develop reusable tooling templates automation and self service capabilities
- Drive enterprise ingestion data and orchestration roadmap adoption and continuous improvement
- Enable scalable secure and reliable platform capabilities with partner teams
- Establish and evolve SDLC standards deployment governance and source control practices
- Evaluate emerging technologies and provide platform recommendations
- Implement and enhance observability monitoring reliability and operational support capabilities
- Improve tool and platform utilization reduce operational friction and accelerate delivery
- Lead tool and platform lifecycle including releases upgrades automation and modernization
- Partner with vendors and external partners for roadmap and issue resolution
- Support enterprise ingestion capabilities using Python based framework
Perks/Benefits
- 401k matching
- Community technical college tuition for children
- Medical, dental, and vision coverage
- Paid time off
- Stock purchase plan
Skills/Tech-stack
Apache Airflow | Apache Kafka | Apache Spark | Artifact Registry | Azure DevOps | CI/CD | Cloud Build | Cloud Dataflow | Cloud PubSub | Cloud Storage | Data Governance | Docker | GCP | GitHub | GitHub Actions | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud PubSub | Google Cloud Storage | Jenkins | Kubernetes | Monitoring | Observability | Python | Reliability Engineering | SQL | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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