Think insurance is boring? We did too. So we built a company that takes everything you think you know about buying insurance & turns it on its head.
At Cover, want to become the largest & most customer centric insurance company in the world.
Founded in 2016, Cover is a mobile-first insurance platform licensed in all 50 states, working with over 35 carriers. We were part of Y Combinators W16 batch, & have gone on to raise $27 million across three funding rounds backed by world class investors.
Were growing fast. In the past year weve scaled the team from 30 to 100 people across our San Francisco & Toronto offices.
Across our diverse & multi-skilled team were working together to deliver a service thats effortless to interact with, transparently priced, & built on a sustainable & long term footing.
Were pushing hard to make our vision of insurance a reality & we want dedicated, inquisitive & collaborative people who are ready to play their part in achieving our goal.
We are looking for an experienced Data Engineer Lead or Manager to help us scale up & improve our data infrastructure capabilities as we rapidly expand into new products & new territories.
Cover is growing very quickly, & we rely heavily on our data analytics capabilities to always steer us in the right direction. As one of Covers first batch of Data Engineers, you will have a great opportunity to define how we create, process, interpret data & lead this team. This is a significant responsibility, & we are looking for someone armed with exceptional technical skills & the know-how of building out world class data infrastructure from the ground level. You will work closely with engineers & business analysts to build systems that ensure Covers data is accessible, accurate, & scalable.
The main responsibilities will include:
Develop, construct, test & maintain data architecture
Design, build, & launch new data extraction, transformation, & loading processes in production
Work with business analysts to optimize queries, dashboards, reports, & other infrastructure
Perform all of the necessary data transformations to populate data into a warehouse that is optimized for reporting
Ensure architecture will support the growing requirements of the business
Proactively discover opportunities for data acquisition
Prepare data for business analysis & statistical modeling
Guiding the data team on day to day responsibilities as well as strategic planning with various internal partners.
4+ years of relevant experience
A self-starter who has the ability to prioritize multiple competing projects
Expertise in SQL & NoSQL databases such as Postgresql
Knowledge of multiple data formats such as tabular data, flat data files, CSV, JSON & XML
Knowledge of programming languages such as Python, R, or similar
Strong analytical skills related to working with unstructured datasets
Prior experience in data modeling, ETL & reporting
Ability to work cross functionally with multiple business units
Bachelor's degree in Computer Science, Engineering, Information Systems, Math or a related technical field
Excellent written & verbal communication skills
Previous experience leading or managing a data team
Nice to Have:
Basic understanding of the insurance industry
Worked at or founded a startup (i.e. built something)
Experience with business intelligence tools (e.g. Periscope, Tableau etc.)
Experience with streaming data systems
Experience with Hadoop, MapReduce
Experience in people leadership and/or management
We currently offer the following benefits & will continually evolve them with the goal of efficiently attracting, retaining, & leveraging the very highest quality talent:
Competitive salaries & stock option grants
Health, dental, for you & your family
Flexible work hours
Unlimited vacation policy
A slew of perks that make your life outside of work easier
We believe in equal opportunity.We are an equal opportunity employer & value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.