Sr Data Engineer
Skills
- Expertise with cloud data warehouses and performance tuning
- Advanced proficiency with dbt for data modeling and transformation
- Strong experience with workflow orchestration tools like Argo, Airflow, Prefect, or Dagster
- Expert programming skills in Python and SQL
- Familiarity with streaming data technologies (Kafka, Kinesis) as a plus
- Knowledge of Kubernetes and infrastructure as code tools preferred
- Experience with multi-cloud environments and data governance
- Strong analytical and problem-solving skills
Responsibilities
- Design and architect scalable, reliable data infrastructure solutions for enterprise requirements
- Make key technical decisions regarding data platform technologies and best practices
- Lead performance optimization initiatives across data pipelines and storage systems
- Evaluate and recommend new technologies and tools for the data stack
- Discover, assess, and integrate complex data sources via databases, APIs, message queues, and streaming
- Design, build, and maintain enterprise-grade data pipelines using Airbyte and orchestration tools
- Develop sophisticated data models and transformations in Redshift using advanced dbt techniques
Education
- Bachelor’s degree in Computer Science, Engineering, or related field required
- Advanced degree preferred but not required
Benefits
- Competitive salary and equity packages
- Generous PTO and sick leave
- Parental leave
- Annual learning and development stipend
- Inclusive and diverse work environment
- Transparency and fairness in compensation
Average salary estimate
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