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Tier-1 employer, mid-level popular Data Engineer role with broad skills creates high candidate competition.
Core data engineering skills transfer broadly, but finance domain and Snowflake preference increase specialization.
Multiple mandatory filters: 5+ years, Snowflake expertise, ETL/ELT and dimensional modeling required.
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Design, develop, and maintain scalable Snowflake data pipelines, models, and data products supporting Finance reporting, analytics, and operations.
Partner with Finance BI Developers and stakeholders to translate business needs into sustainable data solutions and drive adoption of best practices including data quality, governance, and operational excellence.
Support advanced analytics including AI-enabled workflows and contribute to aligning Finance data solutions with Autodesk’s architectural standards.
Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience; Master’s degree desirable.
5+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering, including ETL/ELT pipeline development for enterprise-scale solutions.
Expert-level proficiency with Snowflake, SQL, dimensional modeling, and modern data engineering tools/frameworks.
Work Experience Required: 5+ years in relevant data engineering roles.
Strong technical expertise in modern data engineering with focus on cloud data warehousing and scalable pipeline architecture.
Experience partnering closely with Finance or related business units, translating business requirements into technical data solutions.
Demonstrated interest or experience in generative AI technologies and their application within data products is a plus.