Join a leading insurtech company that is unlocking the potential of digital insurance to help everyone protect what matters most! Are you up for the challenge?

Sure was founded in 2015 and is the digital insurance platform that empowers brands and carriers to distribute products quickly. Our solutions reach and engage customers wherever they are on their journey. We are on a mission to provide a hassle-free way to buy insurance anywhere by powering insurance carriers and brands with our SaaS platform. Together we are building products that make digital insurance accessible to all.

- Culture is everything. Join an incredible team of smart, passionate, collaborative and driven individuals. We empower our teams and promote autonomy and independence wherever we can.
- We are remote first. We work from home and we love it! #LI-Remote
- Strive for greatness. We’ve been named 13th Fastest Growing Company by Deloitte Technology Fast 500, Best Place to Work in 2022 by Built In and recognized for Transforming the Global Insurance Industry by InsurTech 100.
-Funding. In October 2021, we raised $100M in our Series C with a $550M valuation.

We’re growing!

We are looking for a full-time data engineer with experience in building reports, inspecting data sources, and building data pipelines, for our SaaS platform.

You’ll work closely with our backend engineers and our product team, with a direct impact in the data-related products you’ll be building. As a small distributed team, we rely heavily on effective communication and autonomy in order to build, iterate, and ship rapidly.

Our philosophy is that you would be teaching us as much as you'd learn from us. By learning and inspiring others, you'll help cultivate an environment that makes us better at what we do each day.

What you'll be doing:

Maintain data systems that are accurate and high quality at all time.
Anticipating data accuracy and availability issues, and solve in advance.
Analyze data accuracy and quality, and improve the data and reporting tools.
Work closely with the product and engineering teams to design, build & test end-to-end solutions.
Oversee and analyze outgoing reports to client, and build solutions for clients to consume data.
Design and implement ETL processes and pipelines.
Maintain and administrate the data warehouse.
Promote and maintain a healthy and collaborative culture across the team and organization
Make recommendations regarding standards for data and code quality and timeliness

What we're looking for:

Degree in Mathematics, Economics, Finance, Accounting or Computer Science
3+ years of experience with Apache Spark, ideally PySpark
4+ years of experience with SQL
3+ years of programming experience with one of the programming languages, such as Python, Ruby, Go, or Node.
1+ years of experience with Databricks, AWS Glue, or Snowflake
2+ years of experience with AWS, ideally S3 and RDS
Familiarity with relational databases, ideally PostgreSQL, MySQL
Experience working with a Business Intelligence tool, such as Looker, Tableau, or Metabase.
Self-starter attitude and able to work independently as well as in a team environment.
Strong attention to detail with excellent analytical, problem-solving, and communication skills
Excellent English communication skills, verbal and written

Bonus points:

Experience with Databricks
Experience with Fivetran
Experience with Looker
Experience with Python
Familiarity with NoSQL databases, ideally MongoDB
Experience working with data warehouses such as Snowflake and Redshift
Experience in data management or analysis

What we do for you:

Unlimited PTO… no really, we want you to take it!
Mental Health Breaks - company provided meditation app and a weekly wellness hour
WFH stipend to help you work your best while being remote
Countless Medical, Dental and Vision plans … we are an insurtech company after all!
Equity and 401K
Generous parental leave

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.

For more information, visit . Follow @SureHQ on Twitter , Facebook and Instagram .

Employment at Sure is contingent upon a satisfactory verification of a general and criminal background check and education and employment verification. Upon an offer of employment, all prospective employees may be required to complete an employment application. Any background verifications will be obtained with written consent from the individual.

Senior Data Engineer