Data Engineer 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 inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form. 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. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.