Data Engineer II (Hybrid - US)
Skills
- Proficiency in Python and SQL
- Experience with AWS services such as S3, Redshift, and RDS
- Strong analytical skills for handling diverse datasets
- Experience in ETL pipeline creation and maintenance
- Knowledge of dimensional data modeling
Responsibilities
- Collaborate with stakeholders to understand data requirements and deliver aligned data solutions
- Design scalable data pipelines and ETL processes using Python, SQL, and AWS technologies
- Develop and maintain data warehouses optimizing storage and retrieval
- Automate reporting processes and document ETL workflows, data mappings, and technical specifications
- Support the Data Science Center of Excellence with data engineering initiatives
Education
- Bachelor’s degree in Computer Science, Physics/Engineering, Business, or Mathematics
Benefits
- Competitive compensation with pay band of $105k - $125k annually
- Generous retirement package
- Medical, dental, and vision insurance
- Pre-tax contribution plans
- Employee Stock Ownership Plan (ESOP)
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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