Senior Data Engineer
Insight Global
Required Skills & Experience 4-7 years of Data Engineering experience\nSnowflake\nCoalesce (dbt experience is a strong proxy)\nDagster (Airflow experience is a strong proxy)\nPython\nSQL\nETL/ELT and Data Warehousing expertise\nExperience designing and building scalable data pipelines\nStrong communication skills with technical and non-technical stakeholders\nSelf-directed problem solver\nData Mesh awareness\nAI fluency with tools such as Claude Code, Codex, Cursor, Kiro, Antigravity, or similar\nHighly organized and motivated Nice to Have Skills & Experience AWS experience\nTerraform\nAzure or GCP experience\nInsurance or Financial Services industry experience\nMicroservices migration experience\nDomain-Driven Design\nStream processing\nData quality frameworks\nMaster's degree Job Description Insight Global is seeking a Senior Data Engineer for a top insurance and annuities client. This individual will be responsible for leading the development of enterprise-scale data pipelines, architecting modern data warehouse solutions, and driving technical excellence across a growing data organization. The ideal candidate will bring deep expertise in Snowflake, Python, SQL, Coalesce/dbt, and Dagster/Airflow, while playing a leadership role in mentoring engineers and influencing data architecture decisions. This position offers the opportunity to work remotely, solve complex business challenges, and help shape the future of a modern, data-driven organization through innovative engineering practices and emerging AI technologies. Insight Global
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