Senior Data Engineer

Reposted 13 Days Ago
Marina del Rey, CA, USA
Hybrid
160K-180K Annually
Senior level
Digital Media
Zefr is helping power the age of responsible marketing by enabling transparent, content-level targeting and measurement.
The Role
As a Senior Data Engineer, you will design and operate data transformation pipelines, workflows, and AI-assisted data visualization tools, collaborating with an experienced team.
Summary Generated by Built In
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 data engineer to 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 data transformation pipelines in Snowflake and dbt

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

  • Work on our roadmap for AI-assisted data visualization and analysis tools

What we’re looking for:
  • Bachelor’s or Master’s degree in an engineering discipline (BEng/MEng)

  • 8+ years of experience in software engineering, data analysis, and/or data engineering

  • Expert in building workflows using dbt and SQL.

  • Strong experience with Python

  • 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

  • 13 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 $160,000 and $180,000. 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.

Skills Required

  • Bachelor's or Master's degree in an engineering discipline (BEng/MEng)
  • 8+ years of experience in software engineering, data analysis, and/or data engineering
  • Expert in building workflows using dbt and SQL
  • Strong experience with Python
  • Knowledge of systems engineering principles and product lifecycle management
  • Strong communication and collaboration skills
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The Company
HQ: Marina del Rey, CA
200 Employees
Year Founded: 2009

What We Do

Zefr is the leading data and technology company that enables responsible marketing for brands, agencies and platforms. The company leverages a patented AI and machine learning engine, called Cognition AI, to offer brands and agencies more accurate and transparent activation and measurement solutions on scaled video platforms.

Why Work With Us

As employees work to bring responsible marketing to the digital advertising ecosystem, we work to improve the lives of our employees both at work and at home. We are committed to building a team that represents a variety of different backgrounds, skills, and perspectives because we know this only makes us better.

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