ML Data Engineer - Pipelines, Datasets & Quality

Sesame; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

401 (k) with 3.5% employer match

100% employer-paid health, vision, and dental benefits

Unlimited PTO and sick time

Flexible spending account with employer matching

Employee Assistance Program (EAP)

Competitive stock options

Job summary

Sesame is seeking a Data Engineer to build and maintain data pipelines crucial for AI models in San Francisco. You will collaborate with machine learning engineers to ensure access to structured data for model training and evaluation.

This role focuses on developing production pipelines for complex data including voice and conversational data, underlining strong SQL and Python skills. At Sesame, you will contribute significantly to data workflows and governance.

Qualifications

• 5+ years in data engineering, with experience supporting ML or AI teams.
• Strong SQL and Python skills.
• Experience with modern data platforms and tooling.

Responsibilities

• Design and build production data pipelines for model training.
• Partner with ML engineers to understand data requirements.
• Develop data quality frameworks to ensure data integrity.

Skills

SQL

Python

Data quality frameworks

ETL/ELT pipelines

Workflow orchestration systems

Communication skills

Tools

Airflow

Kubernetes

Ray

Spark

Job description

Sesame is seeking a Data Engineer to build and maintain data pipelines crucial for AI models in San Francisco. You will collaborate with machine learning engineers to ensure access to structured data for model training and evaluation.

This role focuses on developing production pipelines for complex data including voice and conversational data, underlining strong SQL and Python skills. At Sesame, you will contribute significantly to data workflows and governance.