Senior Snowflake Engineer

permanent
Fully Remote

Only accepting applications from: United States

  • Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources.
  • Architect and optimize 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 and maintain CI/CD pipelines for data infrastructure using tools such as dbt, Git, and orchestration frameworks (e.g., Airflow).
  • Leverage advanced Snowflake features — Snowpipe, Streams, Tasks, Time Travel, Dynamic Tables, and Snowpark — 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, and establish best practices for data engineering across the team.

Experience

  • 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.
  • Proficiency with dbt for data transformation and modeling.
  • Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and its data services.
  • Programming proficiency in Python for data processing, automation, and scripting.
  • Proficiency 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.

Salary and Perks

Pay range: $91K - $119K

About Bounteous

Creating digital solutions for today's challenges and tomorrow's opportunities.

Creating digital solutions for today's challenges and tomorrow's opportunities.

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