Data Engineer

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

What we do:

Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr’s platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Our products safeguard media and AI investments, while maximizing performance and efficacy on those channels.

Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI.

What you’ll do:

We are looking for a passionate engineer to come collaborate and grow alongside our experienced data engineering team. The team is responsible for a broad range of systems and technologies:

• Design, build, and operate complex workflows using Apache Airflow

• Design, build, and operate data transformation pipelines in Snowflake and dbt

• Design, build, and manage distributed data science inference systems across multi-cloud environments, including AWS and GCP (and more).

What we’re looking for:

• Bachelor’s or Master’s degree in an engineering discipline (BEng/MEng)

• 1-2 years of experience in a technical field

• Competency in Python and SQL

• Knowledge of systems engineering principles and product lifecycle management

• Strong communication and collaboration skills

Benefits (for US based employees):

• Flexible PTO

• Medical, dental, and vision insurance with FSA options

• Company-paid life insurance

• Paid parental leave

• 401(k) with company match

• Professional development opportunities

• 10+ paid holidays off

• Summer Fridays (we leave early)

• In-office, hybrid, and fully-remote work options available

• In-office lunches and lots of free food

• Optional in-person and virtual events (we like to celebrate!)

Compensation (for US based employees):

The anticipated salary for this position is between $100,000 and $130,000. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.

Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.