BI Data Engineer

Role:   

If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you. We are looking for data engineers to build and manage data pipelines across a wide range of client and industry data sets. The ideal candidate is a life-long learner who knows Python, with strong analytical skills and an interest in Machine Learning. 

Gradient AI:   

Gradient AI is a fast-growing startup, bringing state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) solutions to the trillion-dollar insurance industry. Founded in 2018, we have recently raised $20M from top Insurtech investors to continue fueling our growth. Our software-as-a-service platform provides bias-free, data-driven insights, enabling insurance companies to profitably run their business and expand their offerings to underserved people and markets.  

Responsibilities:  

• Analyze complex data schemas and relationships to implement information models to capture the data and data relationships.  
• Create ETL processing logic to manage large volume client data sets associated with various types of insurance lines including Worker’s Compensation, Health, and Auto. 
• Integrate 3rd party commercial and public domain data sets to enhance and extend Gradient AI’s ML data assets.
• Design and implement data pipelines for processing data as part of the overall ML Ops strategy within Gradient AI’s Cloud deployment.
• Collaborate with data scientists to “featurize” the information models and construct Machine Learning models.
• Assist software engineering team to design and create integration APIs and applications that sit on top of Gradient AI’s ML data assets. 
• Build dashboards and reports to visualize and explain to clients the results of the data science models. 

Qualifications:  

• 5+ years of relevant working experience  
• Fluency in SQL and experience with relational and non-relational/alternative databases; Postgres is a desirable 
• Demonstrated ability to write effective, scalable Python code 
• Experience to working with Business Intelligence Reporting Tools (Tableau, PowerBI, etc.) 
• Experience with ETL / BPM.  Exposure to tools like Amazon Glue, Apache Spark, Apache Airflow is desirable. 
• Exposure working in a cloud-computing environment (e.g., AWS, GCP, Azure)
• Comfortable with Linux, including developing shell scripts 
• Experience working with insurance data is desirable 

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 including medical, dental, vision, 401k, and more. 
• Ample opportunities to learn and take on new responsibilities.  

 We are an equal opportunity employer.