Data Engineer
Core
Design, optimize, and maintain complex data pipelines while collaborating with Data Science teams to operationalize machine learning models in production.
Role type
Mid-Level Data Engineer (ML Ops)
Builds
Scalable data pipelines, data ingestion solutions, and operationalized ML models
Domain
Data Engineering / Machine Learning Operations
Deliverable
production ML models | data pipelines
Required skills
Python, SQL, Polars, PySpark, REST APIs, Git, CI/CD, software testing, ML pipeline deployment
Preferred skills
Databricks, Apache Airflow, cloud platforms (AWS, Azure, GCP)
Technologies
Polars, PySpark, Databricks, Apache Airflow, AWS, Azure, GCP
Responsibilities
Design and develop scalable data pipelines; Optimize data processing workflows for large-scale datasets; Build and manage data ingestion solutions; Ensure data quality, reliability, and performance; Collaborate with Data Science teams to deploy ML solutions; Contribute to software engineering best practices
Seniority
Mid-Level, hands-on IC
