Data Engineer

The Data Engineer (Senior Level or above preferred) will design, develop, and maintain enterprise data solutions on the Snowflake platform. This role is responsible for building scalable data pipelines, developing curated reporting datasets, implementing data governance standards, and partnering with business stakeholders to translate requirements into reliable analytical solutions. The ideal candidate combines strong technical expertise with the ability to work directly with business users, analysts, and engineers to deliver high-quality data products that support enterprise reporting and analytics initiatives.

Required Qualifications * Expert-level SQL proficiency o Advanced query development o Performance optimization and tuning o Data modeling o View and stored procedure development o Complex joins, aggregations, and analytical functions o Data validation and reconciliation * Expert-level Python proficiency o Data engineering automation o Data transformation and processing o API integrations o Data quality validation o Workflow automation o Analytical and operational tooling * Experience designing and building data pipelines * Experience developing reporting-ready datasets * Strong understanding of data warehousing principles * Experience working with large-scale enterprise data environments Preferred Qualifications * Strong Snowflake experience * Experience with Power BI * Experience with Airflow or similar orchestration platforms * Experience with GitHub-based development workflows * Experience with cloud data platforms * Experience with CI/CD and DevOps practices * Experience mentoring junior engineers Critical Success Factors A successful candidate: * Demonstrates exceptional SQL and Python skills. * Takes ownership from requirements through deployment. * Produces well-documented, maintainable solutions. * Balances technical excellence with business needs. * Communicates effectively with both technical and non-technical audiences. * Champions data quality, governance, and engineering best practices.