Senior Data Engineer

Gradient AI:   

Gradient AI delivers state-of-the art artificial intelligence and Machine Learning solutions to the trillion-dollar insurance industry.  AI has emerged as a disruptive force revolutionizing the way insurance professionals achieve their objectives, and Gradient AI is leading the charge.  Our team is made up of Data Science and Insurance Technology experts with a history of building wildly successful technology companies.  If you are passionate about making a difference for customers, and collaborating with passionate colleagues, then Gradient AI might be the right place for you.    

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 a Data Engineer to join our team to design and implement data pipelines, optimize existing models, and create standardization as we move into new lines of business.  The ideal candidate is a life-long learner who knows object-oriented coding and has experience with business intelligence reporting tools.  

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.  

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 (or other similar object-oriented languages) 
• Experience with ETL / BPM.  Exposure to tools like Databricks 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: 

We are an equal opportunity employer that offers a number of benefits and perks to accommodate all types. Bring your authentic self to work in our supportive workplace where we offer:  

• A fun and fast-paced startup culture 
• A culture of employee engagement, diversity and inclusion 
• Full benefits package including medical, dental, vision, 401k, disability, life insurance, and more 
• Unlimited vacation days and ample holidays- we all work hard and take time for ourselves when we need it 
• Competitive salary and generous stock options - we all get to own a piece of what we’re building 
• Ample opportunities to learn and take on new responsibilities