Principal Data Engineer - Enterprise Data & Analytics - Remote
Rochester, MN, United States
R
USD 112K-165K (estimate) Senior-level Full Time
Tasks
- Build and govern data lakehouse platforms
- Build and schedule data workflows
- Collaborate with analytics and machine learning teams
- Define enterprise data architecture
- Design, develop, and optimize data pipelines
- Develop and validate analytical models
- Establish engineering standards and architecture patterns
- Implement API integration
- Implement CI CD and observability for data platforms
- Implement batch and streaming data processing
- Integrate and transform data
- Perform exploratory data analysis
- Provide technical leadership and mentorship
- Translate business requirements into actionable insights
Perks/Benefits
- Continuing education
- Dental insurance
- Flexible spending account
- Health savings account
- Medical insurance
- Retirement plan
- Vision insurance
Skills/Tech-stack
Apache Airflow | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Kafka Streams | Apache Spark | Avro | C++ | CI/CD | Cloud Composer | Data virtualization | DataOps | Delta Lake | Denodo | DevOps | Docker | GitHub Actions | Google BigQuery | Google Cloud | Google Cloud Composer | Hive | Java | JavaScript | Jenkins | Kafka | Kafka Streams | Kubernetes | Lakehouse | Linux | ORC | PHP | Parquet | Pig | Power BI | Python | SAS | SQL | SSIS | Snowflake | Tableau | Windows
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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