Overview of Position

Varsity Tutors believes access to quality education is critical for everyone to achieve their goals. Leveraging AI and professional educators Varsity Tutors makes quality, personalized education accessible wherever and whenever you need. To date, students have accessed more than three million hours of live instruction on the platform. Experts are available to meet in person or through the company’s award-winning online and mobile platforms. Our vision is to seamlessly connect experts and learners in any subject, anywhere, anytime.

Varsity Tutors recently closed a $50M Series C funding round, bringing its total funding to $107M. The round was led by Learn Capital, with participation from The Chan Zuckerberg Initiative and existing investor TCV. The funds will enable Varsity Tutors to further its vision of seamlessly connecting experts and learners in any subject, anywhere, at any time.

We are looking for a seasoned senior data engineer with extensive experience in data engineering and building data management infrastructure for a growing machine learning platform and who craves the fast paced, dynamic environment and wide breadth of ownership that startups offer.

As a key member of the team you will help architect canonical data for different teams, manage and optimize the core data infrastructure, build and maintain ingestion pipelines, and build non-SQL transformation pipelines. You will help rapidly iterate and deliver across multiple critical business initiatives and be a driving force scaling our “low touch” tech stack while remaining committed to reliable, available and scalable systems.

Requirements:

• Deep understanding of ETL and ELT methodologies and practices, storage technologies and event driven data pipelines
• Extensive experience with modern data platforms and technologies, e.g. Redshift, Spark/MapReduce
• Successfully implemented pipelines using technologies like dbt, Stitch, or Fivetran
• Proficiency with Python or R
• Experience delivering data driven insights via a service oriented architecture
• Excited about building tools for the analytics and data science functions to apply AI and ML to solve real-world problems in a consumer facing educational context (INDHP)

Varsity Tutors is proud to be an equal opportunity employer! We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. Varsity Tutors will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.