Senior Snowflake Engineer
šŗšø United States
Python
AWS
GCP
Azure
Git
Marketing
Snowflake
GitHub
Machine Learning
Design
Devops
SQL
Analyst
Security Engineer
$91,000 - $119,000
Senior Snowflake Engineer
from šŗšø United States
$91,000 - $119,000
Information Security Responsibilities
- Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
- Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
- Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
- Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Role and Responsibilities:
- Design, develop, andĀ maintainĀ scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources.
- Architect andoptimizeĀ Snowflake data models, schemas, and warehouses for performance, reliability, and cost efficiency.
- Implement and enforce data governance, security, role-based access controls, and data quality standards across the platform.
- Monitor and tune warehouse performance, query execution, and resource consumption to control costs and meet SLAs.
- Build andmaintainĀ CI/CD pipelines for data infrastructure using tools such asĀ dbt, Git, and orchestration frameworks (e.g., Airflow).
- Leverage advanced Snowflake features āSnowpipe, Streams, Tasks, Time Travel, Dynamic Tables, and Snowpark ā to deliver near-real-time and automated data solutions.
- Collaborate with analysts, data scientists, and business stakeholders to translate requirements into robust data solutions.
- Mentor junior engineers, conduct code reviews, andestablishĀ best practices for data engineering across the team.Ā
Required Qualifications:
- 5+ years of data engineering experience, with 3+ years of hands-on Snowflake development in a production environment.
- Expert-level SQL skills, including complex query design, optimization, and performance tuning.
- Strong experience designing dimensional and/or data vault data models and building ELT pipelines.
- ProficiencyĀ withĀ dbtĀ for data transformation and modeling.
- Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and its data services.
- ProgrammingproficiencyĀ in Python for data processing, automation, and scripting.
- ProficiencyĀ using GenAI and AI-assisted development tools (e.g., Claude Code, ChatGPT/OpenAI, GitHub Copilot, Cursor) to accelerate coding, debugging, and documentation.
- Experience with workflow orchestration tools such as Airflow,Dagster, or Prefect.
- Solid understanding of data warehousing concepts, data governance, and security best practices.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Ā
Individual pay is determined by many factors, including experience, relevant education or training, and organizational needs. The mid-range to maximum of the salary range is generally reserved for individuals who are highly experienced in the role.






