Data Engineer

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. Our ability to make a difference starts with our people. We would love to work with you! 


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, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai 
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.