https://jobs.lever.co/cover-2/49bab031-bd9e-4ca6-a558-b80e206f10ca

Senior Data Engineer (Toronto, Ontario / California / Remote)

Toronto, Ontario /
Engineering /
Full Time
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Think insurance is boring? We did too. So we built a company that
takes everything you think you know about buying insurance and turns
it on its head. 
 
At Cover, we want to become the largest and 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
Combinator's W16 batch, and have gone on to raise $27 million across
three funding rounds backed by world class investors. 
 
We're growing fast. In the past year we've scaled the team across our
San Francisco and Toronto offices. Across our diverse and
multi-skilled team we're working together to deliver a service that's
effortless to interact with, transparently priced, and built on a
sustainable and long term footing.
 
We're pushing hard to make our vision of insurance a reality and we
want dedicated, inquisitive and collaborative people who are ready to
play their part in achieving our goal.

We rely heavily on our data analytics capabilities to always steer us
in the right direction.  As one of Cover's early Data Engineers, you
will have a great opportunity to define how we create, process,
interpret data and lead this team.  This is a significant
responsibility, and we are looking for someone armed with exceptional
technical skills and the know-how of building out world class data
infrastructure from the ground level.  You will work closely with
engineers and business analysts to build systems that ensure Cover's
data is accessible, accurate, and scalable. 

Responsibilities

      + Develop, construct, test and maintain data architecture
      + Perform all of the necessary data transformations to populate
        data into a warehouse that is optimized for end users
      + Prepare data for statutory reports, business analysis and
        statistical modeling
      + Design, build, and launch new data extraction,
        transformation, and loading processes in production 
      + Ensure architecture will support the growing requirements of
        the business
      + Proactively discover opportunities for data acquisition
      + Guiding the data team on day to day responsibilities as well
        as strategic planning with various internal partners.  

Requirements

      + 4+ years of relevant experience in Data Engineering, Big
        Data, or related field
      + Expertise in SQL and NoSQL databases such as PostgreSQL
      + Knowledge of multiple data formats such as tabular data, flat
        data files, CSV, JSON and 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 and reporting 
      + Ability to work cross functionally with multiple business
        units
      + Bachelor's degree in Computer Science, Engineering,
        Information Systems, Math, Physics or a related technical
        field 
      + Excellent written and verbal communication skills
      + Previous experience leading or managing a data team

Candidates with the following experience will be given priority

      + Understanding of P&C insurance, with particular regard to
        common industry accounting conventions for premiums and
        losses.
      + Familiarity with accounting concepts


Additional nice-to-have's

      + Worked at or founded a startup (i.e. built something)
      + Experience with FiveTran and data build tool
      + Experience with business intelligence tools (e.g. Periscope,
        Tableau etc.) 
      + Experience with cloud environments
      + Experience with graph databases (e.g. Neo4j)
      + Hands on working experience with streaming data systems

The preferred location for this role is in Toronto, ON but will
consider candidates in California or remote.

We currently offer the following benefits and will continually evolve
them with the goal of efficiently attracting, retaining, and
leveraging the very highest quality talent:  

Stock option grants

Health, dental, for you and 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 and value diversity at our
company. We do not discriminate on the basis of race, religion,
colour, national origin, gender, sexual orientation, age, marital
status, veteran status, or disability status.
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