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Responsibilities:
- Implement and deliver data platform projects.
- Build scalable data pipelines for decision making.
- Create data frameworks and services for engineers.
- Collaborate with data scientists to enhance ML platform.
- Refine data infrastructure and tooling for performance.
- Support projects ensuring alignment with goals.
Requirements:
- 3-5 years of experience in data engineering.
- Experience with ML models in production.
- Knowledge of Python, AWS Glue, Sagemaker, Redshift.
- Ability to collaborate with remote teams.
- Team player with a mentor-oriented approach.
Benefits:
- Flexible work schedules and unlimited time off.
- Fully paid health, dental, and vision insurance.
- Paid medical, family, and parental leave.
- Automatic 2% 401K employer contribution.
- $1,000 home-office setup allowance for remote employees.
