Senior Data Engineer, ZoomInfo

• This role is ideal for someone who can seamlessly blend technical skills with business acumen - someone who can get the data, shape the data, and build tools to tell the story
• Who proactively drives continuous improvement
• The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments
• Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 6+ years of progressive experience in data engineering and data analytics
• Expert-level SQL skills for building performant, scalable queries and transformations on large-scale datasets
• Strong Python programming experience
• Hands-on experience with dbt (Data Build Tool) for advanced data modeling and transformations in a modern data stack
• Deep expertise in Snowflake, including data warehouse design, performance optimization, and cost modeling
• Strong understanding of data architecture concepts such as data lakes, ETL/ELT, event-driven architectures (e.g., Kafka), and data mesh
• Proven analytical skills focused on translating business requirements into innovative, scalable solutions; experience with Tableau
• Proficiency with cloud platforms (GCP and/or AWS) and infrastructure-as-code tools (e.g., Terraform)

Desirable

• We are looking for a highly skilled Senior Data Engineer to become part of our Enterprise Operations team
• You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI-powered applications, including our industry-leading LLM-powered systems
• Partner with cross-functional teams to gather, validate, and translate business requirements into high-quality data solutions
• Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python
• Build and maintain semantic data layers optimized for consumption by LLM-powered applications
• Define, monitor, and enforce data quality SLAs across all data pipelines and products, ensuring accuracy, reliability, and lineage
• Influence Technical Decisions: Apply your experience with data architecture to improve pipelines, table design, and reporting structure in collaboration with engineering
• Design and develop analytical tools to assess data quality, recommend remediation strategies, implement testing frameworks, and drive continuous improvement
• Mentor and coach junior engineers, promoting best practices in code quality, data architecture, and operational excellence