Data Engineer - AI Pipelines & Multi-Cloud Inference

Zefr; California; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible PTO

Medical, dental, and vision insurance

Company-paid life insurance

Paid parental leave

401(k) with company match

Professional development opportunities

10+ paid holidays off

Summer Fridays

In-office, hybrid, and fully-remote

In-office lunches and lots of freefood

Optional in-person and virtual events

Job summary

Zefr, the leader in AI-powered content classifications, seeks a data engineer to join our team in California. You’ll collaborate with a seasoned data group to design and operate scalable data workflows using Airflow, and to build data transformation pipelines in Snowflake and dbt across AWS and GCP.

We value a BEng/MEng with 1–2 years in a technical field, strong Python and SQL skills, and excellent collaboration.

Qualifications

• Bachelor's or Master's degree in engineering.
• 1–2 years of technical field experience.
• Proficiency in Python and SQL.
• Familiar with systems engineering and lifecycle management.
• Strong communication and collaboration skills.

Responsibilities

• Design and operate ETL workflows with Airflow.
• Build data transformation pipelines in Snowflake/dbt.
• Develop distributed inference across AWS and GCP.

Skills

Python

SQL

Systems engineering

Product lifecycle management

Communication

Education

Bachelor's or Master's degree in engineering

Tools

Snowflake

dbt

AWS

GCP

Airflow

Job description

Zefr, the leader in AI-powered content classifications, seeks a data engineer to join our team in California. You’ll collaborate with a seasoned data group to design and operate scalable data workflows using Airflow, and to build data transformation pipelines in Snowflake and dbt across AWS and GCP.

We value a BEng/MEng with 1–2 years in a technical field, strong Python and SQL skills, and excellent collaboration.