Data Engineer
| Company | MotherDuck |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA, New York, NY, USA |
| Salary | $150000 – $200000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 5-10+ years of experience as a Data Engineer or in a similar role.
- Proficiency in SQL and experience with relational data warehouses.
- Expertise writing robust Python code for data processing.
- Experience with data pipeline and orchestration tools such as Apache Airflow, dbt, or similar.
- Ability to debug SQL query performance issues including examining query plans and system resource usage.
- Understanding of data warehouse modelling concepts.
- Experience working with APIs and integrating third-party data sources.
- Ability to work independently in a fast-paced, collaborative environment.
- Excellent problem-solving skills and a passion for data-driven insights.
- Familiarity with deployment to cloud platforms (AWS, GCP)
Responsibilities
- Design, build, and maintain robust data pipelines and ETL processes.
- Develop and optimize data models for analytics and reporting.
- Collaborate with engineering and product teams to ensure data integrity and availability.
- Monitor and troubleshoot data infrastructure performance, ensuring reliability and scalability.
- Implement data quality and governance frameworks to maintain high standards.
- Work with cloud-based platforms and tools to handle large-scale data processing.
- Evaluate and implement new technologies to improve data workflows and performance.
- Collaborating with engineering teams to provide new required signals and logging points
Preferred Qualifications
- (Nice to have) Experience with observability tooling such as DataDog or Honeycomb
- (Nice to have) Experience with Kubernetes and Docker