Data Engineer

Overview

Boston, MA Role: If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then this 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. We are 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 our 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 our companies 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 bonus -Demonstrated ability to write effective, scalable Python code -Exposure to ETL / BPM tools like Amazon Glue, Apache Spark, Apache Airflow -Experience working with ESB/Microservices tools such as MuleSoft, Apache Kafka, Apache Karaf -Exposure working in a cloud-computing environment (e.g., AWS, GCP, Azure) -Comfortable with Linux, including developing shell scripts -Exposure to working with Business Intelligence Reporting Tools (Tableau, PowerBI, etc.) is a bonus -Experience working with insurance data 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 including medical, dental, vision, 401k, and more. -Ample opportunities to learn and take on new responsibilities.

Qualifications

• 5+ years of experience in ANY of the following:
  • Python
  • SQL
• Data Engineering (5+ years)
• Are you fully vaccinated for COVID-19? *Full vaccination = 2 or more weeks have passed since the second dose in a 2-dose series (Pfizer or Moderna vaccines) or since the first dose in a single-dose vaccine (Johnson & Johnson’s Janssen vaccine). Vaccine must be approved/authorized by the FDA
• Are you willing and able to provide proof of full vaccination to HR at least 1 week prior to your start date?
• Are you qualified to work in the United States without sponsorship?

• What are your minimum salary expectations to consider making a move?

Company

Our client is a Software Development company that provides artificial intelligence-driven SaaS solutions exclusively for the insurance industry. Their platform provides bias-free, data-driven insights that helps commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies.