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Tier-1 employer, mid-level Data Engineer title, metro office and generalist AI/data skillset increase competition.
Transferable data engineering skills, but Snowflake and enterprise-scale experience raise domain specificity.
Explicit 5+ years and mandatory Snowflake, Python, SQL, and migration experience elevate shortlist rigidity.
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Develop and deploy production-ready AI data acquisition and transformation pipelines enhancing existing enterprise systems.
Lead modernization efforts of core data platforms focusing on reliability, security, scalability, performance tuning, and cost optimization.
Contribute to architecture design and define best practices for data modeling and governance to solve high-impact business problems.
5+ years of hands-on experience developing complex software systems.
Proficiency in Python and SQL.
Expertise in Snowflake architecture and experience with large-scale migration projects.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or equivalent quantitative discipline.
Experienced in end-to-end design and deployment of scalable data platforms within global, enterprise environments.
Strong operational focus on platform modernization, cost-efficiency, security, and performance optimization.
Capable of contributing architecturally and technically in a collaborative AI-powered product development team.