Lead Data Engineer - Enterprise Data & Analytics - Remote
Rochester, MN, United States
R
USD 120K-163K (estimate) Senior-level Full Time
Tasks
- Analyze unstructured datasets
- Automate manual processes
- Build data products
- Build test automation suites
- Communicate technical solutions
- Deliver in agile environment
- Design data pipeline architecture
- Develop production data pipelines
- Establish architectural principles
- Evaluate technical feasibility
- Facilitate cross-team communication
- Implement data quality monitoring
- Implement engineering standards
- Improve scalability of infrastructure
- Lead technical discussions
- Maintain production codebases
- Mentor engineers
- Optimize data delivery
- Perform root cause analysis
- Prototype data pipelines
- Prototype new technologies
- Review production code
- Select design patterns
Perks/Benefits
- Continuing education
- Dental insurance
- FSA
- HSA
- Health insurance
- Paid time off
- Retirement plan
- Vision insurance
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Flink | Apache Hive | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Spark | Avro | Azure Boards | Azure Pipelines | CI/CD | Cloud Dataflow | Cloud platform | Data Modeling | Data Quality | Delta Lake | Docker | Flink SQL | Git | GitHub Actions | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Platform | Google Composer | Infrastructure as Code | Jenkins | Jira | Kubernetes | Microsoft Azure | Monitoring | NoSQL | ORC | Observability | Parquet | Python | Ray | Relational databases | SQL | SharePoint | Test automation | Unit Testing | Vertex AI | Web Services | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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