Data Engineer needed ASAP for growing company in Columbus
This Jobot Job is hosted by: Andrew Kraig Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $100,000 - $140,000 per year
A bit about us:
We are a car insurance company founded on the simple idea that people who drive well are less likely to get in accidents, and that means they should pay less for insurance. With a small initial venture capital investment, We were faced with the challenge of building the entirety of the technology necessary to run a car insurance carrier from scratch. Through applying techniques to gain significant engineering leverage in the short-term without compromising long-term velocity, the engineering team was able to deliver successfully, creating one of the fastest venture-backed companies to ever reach a billion dollar valuation.
We've been in business now for four years. In those four years, we have become the fastest growing auto insurance company, on a % growth in premium basis. Our most recent round of funding valued us at $3.65 billion and brought our total VC funding to $527.5 million. In the last two years, we have grown our team from 60 to 800.
Why join us?
Competitive Salary
Great Benefits (Health/Dental/Vision)
401(k)
PTO
Plus Many More!
Job Details
Our Data Warehouse has become a central part of the analytics process. We gather data from across the organization and from third party vendors to help answer critical business questions. Our team prides itself on being able to blend software engineering with fundamental Data Warehousing concepts. We often take advantage of tools that aren't typically found in our software stack, but we approach these tools with the same solid engineering principals. Our goals include simplifying complex data, offering high performance, and ensuring that we deliver data on time to our analysts.
Responsibilities:
Work with product, actuarial, and engineering teams to understand and scope new features for our environment
Design & develop data structures that support downstream analysis
Design & develop sustainable, fast ETL processes using SQL
Provide peer review for teammates on their change requests
Create processes to identify, prioritize, and illustrate data quality issues and remediation efforts.
Design solutions which help us to reach our overall goals
Help to ensure data quality and meet data delivery SLA's
Our tech stack includes:
AWS Redshift
AWS S3
AWS Glue
AWS DMS
Ruby/Rails
Python
Spark
Fivetran
Terraform
Qualifications:
At least 3 years of experience in the insurance industry is strongly preferred
Experience using technologies listed above is preferred
Solid SQL skills. Ability to transform data without the use of an ETL tool.
Experience using version control tools like GIT
Familiarity with programming languages like Ruby or Python
Familiarity with DevOps & Agile processes
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
