This is a fully remote opportunity
Gradient AI:
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.
About the Role:
We are looking for a Data Engineer to join our team to create and maintain 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, Airflow, and the AWS ecosystem. The ideal candidate is willing to learn new skills and technologies as the task at hand requires 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).
How you will make an impact:
- Design, build, and implement data systems that fuel our ML and AI models
- Develop tools to extract and process client data from different sources and tools to profile and validate data
- Work cross functionally with data scientists to transform large amounts of data and store it in a format to facilitate modeling
- Contribute to production operations, data pipelines, workflow management, reliability engineering, and much more
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Skills needed to succeed:
- BS in Computer Science (or in another quantitative discipline); 3+ years of relevant working experience
- Experience working in Python in a professional environment
- Desire to learn new skills and tools (e.g. Redshift, Tableau, AWS Lambda, etc.); bonus for experience with Apache Spark (PySpark), DataBricks, Snowflake, or similar distributed compute platforms
- Experience using data orchestration frameworks such as Airflow, Dagster, Prefect
- 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
What We Offer:
- A fun, team-oriented startup culture.
- Generous stock options - we all get to own a piece of what we’re building.
- Unlimited vacation days.
- Flexible schedule that supports working from home.
- Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
- Ample opportunities to learn and take on new responsibilities.
We are an equal opportunity employer.
