Data Engineer
Indexed description
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).
- 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
- 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!)
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.
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