• Remote Gen AI Data Engineer

    Insight Global (Hartford, CT)


    Job Description

    Responsible for implementing data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions - includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready

     

    Develop GCP driven systems to improve data capabilities, ensuring compliance with industry best practices for insurance-specific data use cases and challenges

     

    Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.

     

    Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems

     

    Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the GCP environment

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    8+ years of experience across data engineering utilizing data solutions, SQL and NoSQL, Snowflake, ELT/ETL tools, CICD, Bigdata, GCP, Python/Spark, Datamesh, Datalake, Data Fabric

     

    1+ year of hands-on experience supporting Gen AI initiatives in a data environment, ideally from insurance background

     

    Experience building out within ideally a GCP public cloud environment, but could be AWS/Azure

     

    Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow AI certifications

     

    GCP/Azure/AWS certifications

     

    Experience in Property & Casualty or Employee Benefits industry

     

    Knowledge of natural language processing (NLP) and computer vision technologies