About FutureProof

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FutureProof is a fast-moving, venture-backed insurtech startup that is on a mission to create the first insurer that is truly climate-smart.

We are a small team with a big vision.

 

We believe that the world will only have the incentive to make needed investments in climate adaptation once insurance properly prices climate risk. We have used machine learning in innovative ways to price climate risk from floods and hurricane winds with unprecedented granularity. On the basis of these models, we are building new insurance products that will increase financial and physical resilience to climate change.

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About You

 

You want to be a founding engineer on the team building our platform for delivering our solutions to our partners in the insurance ecosystem. You will report to and work directly with our CTO.  You will collaborate directly with the other FutureProof teams. Your work will be pivotal to shaping FutureProof's product. 

 

You are an experienced data engineer and have worked extensively on building scalable data pipelines in the cloud. You thrive on taking full ownership of your projects and delivering them on time and with high quality. You demonstrate tenacity, resilience, and initiative, enabling you to organize and lead projects, overcome challenges, and propose solutions. You are highly collaborative in working with the rest of the engineering team as well as the other FutureProof teams. You also personify a growth mindset with a team-first attitude.

 

You want to be part of a company that is changing how insurance and the broader financial sector manage climate risk. You are inspired to bring new climate solutions to the market. You thrive in dynamic environments.

 

 

Responsibilities

 

The data engineer role is a full-time position. In this role, you will be expected to: 

 

• Analyze and assemble large, complex sets of raw data

• Build scalable and extensible data pipelines in the cloud for optimal extraction, loading, and transformation of data from various data sources

• Organize and manage data and meta-data stored in suitable databases/data lakes/data warehouses for use in production systems

• Explore and implement ways to enhance data quality and reliability

• Work closely with the data science team to:

• Empower the data scientists to build and deliver high-quality models

• Cleanse, transform, and prepare data for data science and machine learning modeling

• Collaborate with data scientists on various aspects of their projects including efficient feature extraction, model productionization, etc.

• Develop processes to productionize data science and machine learning models

• Translate business requirements into software designs and high-quality code

• Work with our team of analytics and insurance specialists to rapidly iterate on new features 

 

The role is remote, and the job can be done from anywhere in the United States.

 

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Qualifications

 

• Bachelor’s degree in Computer Science or Computer Engineering, or related field

• 5+ years professional experience as a data engineer

• Excellent analytical skills associated with working on structures and unstructured datasets 

• Proven ability to build processes that support data transformation, workload management, scalability, and reliability

• Strong understanding of data modeling, algorithms, and data transformation techniques

• Hands-on experience with ETL/ELT tools (such as dbt, Airbyte, Airflow, etc.)

• In-depth knowledge of at least one of the following programming languages: Python, Go, Java, and/or Scala

• Experience with cloud deployments (GCP, AWS, or Azure) 

• Strong communication skills with a high emphasis on the ability to explain technology in business terms

• Ability to make technical decisions regarding the projects you own and drive initiatives to completion

• Ability to derive and establish a path forward out of an ambiguous set of requirements

• Familiarity with version control tools such as git

• Stewardship of good engineering practices 

• Intuition for product-prioritization and judicious compromise in order to iteratively deliver value

 

 

Application

 

To apply, please send your resume to info@futureproof.am.

 

FutureProof celebrates diversity and is committed to creating an inclusive environment for all employees. All applicants will be considered for employment without attention to age, race, color, religion, gender, sexual orientation, gender identity, national origin, or disability status.