Data Engineering Manager

6 hours ago

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Gradient AI

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Artificial Intelligence • Machine Learning • Insurance • Predictive Analytics • Risk Ranking Solutions

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

💰 $20M Series B on 2021-04

Description

• This is a fully remote opportunity. • Gradient AI is a leading provider of AI solutions for the Group Health and P&C insurance industries. • Our solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. • Gradient AI’s SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims, providing insurers with high resolution, data-driven insights. • Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. • Founded in 2018, Gradient has experienced strong growth every year and recently raised $56 million in Series C funding from top Insurtech investors. • We are looking for a Manager, Data Engineer, to join our team to lead the creation and maintenance of optimal data pipeline architecture and assemble large, complex data sets. • You’ll have a hand in every stage of development and are comfortable thinking creatively with tools such as Python, SQL, and the AWS ecosystem. • The ideal candidate is willing to help their team learn new skills and technologies and are adaptable to fluid and evolving project requirements. • In this role, you will contribute materially towards shaping and realizing the vision of our business and contribute towards fundamentally changing the way an entire industry does business (really).

Requirements

• BS in Computer Science (or in another quantitative discipline); 7+ years of working experience • 2+ years managing engineers, helping grow their careers and improve their skills, ideally in a hybrid / remote setting • Fluency in SQL and experience with non-relational/alternative databases • Experience working in Python, Airflow, and Databricks in a professional environment • Management experience preferred • Desire to learn new skills and tools (e.g. Redshift, Tableau, AWS Lambda, etc.) • Exposure working with a cloud-computing environment (e.g. AWS EC2) • Comfortable with Linux, including developing shell scripts • Experience working in Insurtech or on AI/ML products is a bonus

Benefits

• A fun, fast-paced team-oriented startup culture. • Generous stock options - we all get to own a piece of what we are building. • Unlimited vacation days. • Flexible schedule that supports working from home. • Full benefits package including medical, dental, vision, 401k, and more. • Exponential career growth provides many opportunities to learn and take on new responsibilities.