Data Engineer II
Job Summary
To support the development of innovative analytics and AI/ML solutions, the full-time remote Data Engineer II will design, build, and optimize ETL pipelines, collaborate with data scientists on model training, and implement MLOps practices within a dynamic team environment.
Key responsibilities
- Design, build, and optimize ETL pipelines for analytics, data science, and ML workflows
- Develop and maintain machine learning model labeling and retraining pipelines
- Collaborate with cross-functional teams to scale model training and evaluation pipelines
Required qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- 2-4 years of experience with large-scale data systems supporting analytics and ML workloads
- Proficiency in Python and SQL, with experience in PySpark and modern data processing frameworks
- Hands-on experience with workflow orchestration tools such as Airflow or similar
- Familiarity with MLOps concepts and cloud services, preferably AWS
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