Bachelor's degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or related technical discipline required
5+ years of hands-on, individual contributor experience in data engineering with progressively increasing responsibility
2+ years of experience in a technical leadership or team lead capacity while maintaining significant hands-on coding responsibilities
Proficiency in Snowflake, including advanced features such as data sharing, streams, tasks, and performance optimization
Expert-level SQL skills for complex queries, stored procedures, and database optimization with ability to write highly efficient, production-ready code
Extensive hands-on experience with Databricks, including Delta Lake, Apache Spark, and cluster management
Proven experience designing and personally implementing ETL/ELT processes from multiple heterogeneous source systems
Advanced working knowledge of Python and/or other programming languages for data engineering workflows
Strong understanding of modern data architecture principles, including data warehousing, data lakes, and lakehouse architectures
Excellent communication skills with ability to effectively convey complex technical concepts to both technical and non-technical stakeholders
Business acumen with ability to identify risks, opportunities, and generate innovative solutions to complex data challenges
Strong project management skills with ability to prioritize competing demands and deliver results on time
Collaborative mindset with experience working across data science, analytics, engineering, and business teams
Must be willing to submit to a pre-employment drug screen and a criminal background check
As a federal contractor that engages in safety-sensitive work, cannot permit employees in certain positions to use medical marijuana, even if prescribed by an authorized physician