Data Engineer

Zefr

Marina del Rey, CA

HybridCareer-pivot friendly

Who this role is best for

Strong fit for candidates with 1-2 years of technical experience who operate in multi-cloud environments and have a background in data transformation and workflow design.

Best fit for

Candidates with 1-2 years of technical experience and a background in data pipeline development
— “1-2 years of experience in a technical field”
Professionals comfortable with multi-cloud infrastructure and distributed systems
— “distributed data science inference systems across multi-cloud environments”
Individuals with a degree in engineering and a passion for data workflows
— “Bachelor’s or Master’s degree in an engineering discipline (BEng/MEng)”

Things to consider

The role requires in-office presence despite offering hybrid and remote options
— “In-office, hybrid, and fully-remote work options available”
Compensation expectations should align with the $100,000 to $130,000 range
— “The anticipated salary for this position is between $100,000 and $130,000”

How to stand out

Highlight experience with Apache Airflow and Snowflake in your resume and interviews
— “Design, build, and operate complex workflows using Apache Airflow”
Showcase your communication skills and collaborative mindset in your application materials
— “Strong communication and collaboration skills”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

design, build, and operate complex workflows
design, build, and operate data transformation pipelines
design, build, and manage distributed data science inference systems
work in multi-cloud environments

Typical background

1-2 years of experience in a technical field

Skills & requirements

Required

Apache AirflowSnowflakedbtDistributed Data Science Inference SystemsMulti-cloud EnvironmentsPythonSQLSystems Engineering PrinciplesProduct Lifecycle ManagementCommunication And Collaboration

Preferred

Ai-powered Content ClassificationMulti-modal Content Understanding

Stack & domain

PythonSQLApache AirflowSnowflakedbtAWSGCPCommunication And Collaboration SkillsData EngineeringMulti-modal Content UnderstandingAi-powered Content ClassificationsPre-bid Activation And Verification Solutions

About the role

Original posting from Zefr via Ashby

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.

Source: Zefr careers (Ashby)