Full-Time

Data Engineer

Confirmed live in the last 24 hours

Federato

11-50 employees

AI-driven underwriting platform for insurers

Data & Analytics

AI & Machine Learning

Financial Services

Mid

Remote in USA

Required Skills

Python

Data Science

SQL

Apache Kafka

Data Analysis

Requirements

Demonstrated interest in data and machine learning for impact
University degree in Computer Science, Data Science, Information Systems, Data Mining, Mathematics, Statistics, Physics, Applied Sciences, or a related field
2+ years of hands-on industry experience in data engineering
Familiarity with event backbone and job pool platforms (Kafka, etc)
Willingness to get hands dirty across a broad variety of internal and client software
Experience engaging with customers and translating customer needs to valuable features
2+ years of experience with Typescript, Python (Django) and have built complex ETL pipelines
Hands-on experience with SQL database design, data modelling and data mining
Demonstrated ability to pick up new technologies quickly and learn on the spot
Experience in design and code reviews

Responsibilities

Develop, design, create, modify, and/or test ETL pipelines or systems to support Machine Learning and Analytics capabilities
Ensure quality of data through their flow, implement guardrails, health checks and alerts
Collaborate with customers to understand their data ecosystem and consolidate data models for predictive modeling
Demonstrate proficiency in data engineering, data architecture, programming, and software engineering
Make pivotal development and architectural decisions on a daily basis
Engage directly with customers to activate AI features
Collaborate with Data Science, Product Managers, and Software Engineers to build robust ETL pipelines
Work with customer empathy to ensure data processes and flows support their needs

Federato Technologies is a Series B startup based in San Francisco, CA backed company funded by some of the most prominent VCs in the Bay Area. We build software leveraging data and AI to enable large insurance carriers to improve their portfolio optimization and make insurance affordable again. You will be the first hire into the data science & engineering team, reporting directly to the head of data science. You will collaborate closely with the head of data science to facilitate and bolster the implementation of Machine Learning features. Your responsibilities will include making pivotal development and architectural decisions on a daily basis, and you will engage directly with customers to activate AI features, playing a key role in both the company’s success and our customers’ long-term achievements. This is a remote position, but we do have an office in San Francisco. As part of our hiring process, we are required to run a criminal background check.

Responsibilities

Develop, design, create, modify, and/or test ETL pipelines or systems to support our Machine Learning and Analytics capabilities
Ensure quality of data through their flow, implement guardrails, health checks and alerts
Be able to collaborate with customers and understand in depth their data ecosystem to successfully consolidate our data models for predictive modelling
Develop a strong understanding of relevant data domains, codebase, and/or systems
Demonstrate proficiency in data engineering, data architecture, programming, and software engineering
Demonstrate good judgment in selecting methods and techniques for obtaining solutions
Work independently, use available resources to get unblocked, and complete tasks on schedule by exercising strong judgment and problem solving skills
Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity
Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
Be able to work with customer empathy in ensuring that data processes and flows support their needs

Requirements

Demonstrated interest in data and machine learning for impact
University degree in Computer Science, Data Science, Information Systems, Data Mining, Mathematics, Statistics, Physics, Applied Sciences, or a related field
2+ years of hands-on industry experience in data engineering
Familiarity with event backbone and job pool platforms (Kafka, etc)
Willingness to get hands dirty across a broad variety of internal and client software
Experience engaging with customers and translating customer needs to valuable features
2+ years of experience with Typescript, Python (Django) and have built complex ETL pipelines
Hands-on experience with SQL database design, data modelling and data mining
Demonstrated ability to pick up new technologies quickly and learn on the spot
Experience in design and code reviews

Here at Federato, your capabilities are important, but culture fit is quintessential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we’re here to have fun, so sticks-in-the-mud need not apply.

Federato

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Website

View Company Profile

Federato's RiskOps platform leverages AI and machine learning to improve underwriting processes, offering real-time risk selection and portfolio insights for insurance entities such as carriers, MGAs, and MGUs. This platform enhances underwriters' capabilities by optimizing workflows, assessing businesses effectively, and dynamically prioritizing tasks.

Company Stage

Series B

Total Funding

$40.6M

Headquarters

San Francisco, California

Founded

2020

Growth & Insights

Headcount

6 month growth

↓ -2%

1 year growth

↑ 23%

2 year growth

↑ 180%