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Data Engineer

We are looking for an experienced Data Engineer to help us scale up and improve our data infrastructure capabilities as we rapidly expand into new products and new territories.  

About Cover 

Cover is a national insurance brokerage, licensed in all 50 states, working with more than 35 carriers. We source our customers entirely from our iPhone and Android apps. Right now, we rank #1 for searches of insurance on the AppStore in Canada, and within the top 10 in the US on any given day. The company is backed by Y Combinator and many other world-class investors.

Role Summary

Cover is growing very quickly, and we rely heavily on our data analytics capabilities to always steer us in the right direction.  As Cover’s first dedicated Data Engineer, you will have a great opportunity to define how we create, process, and interpret data. 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.    

The main responsibilities will include:

  • Develop, construct, test and maintain data architecture
  • Design, build, and launch new data extraction, transformation, and loading processes in production 
  • Work with business analysts to optimize queries, dashboards, reports, and 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 and statistical modeling 


  • 4+ years of relevant experience 
  • A self-starter who has the ability to prioritize multiple competing projects 
  • 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 or a related technical field 
  • Excellent written and verbal communication skills

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

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:

Highly competitive salaries and 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, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

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