Data Engineer: Pipelines, Analytics & ML

Studdy; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Learning budget for courses and confs

Free Studdy subscription for your 가족

Job summary

Studdy Lab is seeking a data engineer to build and maintain data pipelines and the data warehouse in a fast-paced environment. You will model data for analytics and ML, ensuring data quality and monitoring while collaborating with analysts, ML engineers and product teams.

Requirements include excellent English communication, 3+ years in data engineering, strong SQL and Python, and experience with dbt or Airflow. French language basics are required for visa processing.

Qualifications

• Excellent English communication, spoken and written.
• 3+ years in data engineering.
• Strong SQL and Python.
• Experience with a modern data stack (dbt, Airflow or similar).
• Basic French: an A2 French certificate is required before your visa application.

Responsibilities

• Build and maintain data pipelines and the warehouse.
• Model data for analytics and ML.
• Own data quality and monitoring.
• Work with analysts, ML and product teams

Skills

SQL

Python

Tools

dbt

Airflow

Job description

Studdy Lab is seeking a data engineer to build and maintain data pipelines and the data warehouse in a fast-paced environment. You will model data for analytics and ML, ensuring data quality and monitoring while collaborating with analysts, ML engineers and product teams.

Requirements include excellent English communication, 3+ years in data engineering, strong SQL and Python, and experience with dbt or Airflow. French language basics are required for visa processing.