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Senior Snowflake Engineer

1 week, 5 days ago
United States
Full-time
Senior
Data Engineer
Data Science and Analytics
Apache Airflow AWS Azure CI/CD Dagster dbt GCP Generative AI Git Prefect Python Snowflake SQL
Apply Now
Bounteous

Bounteous

Bounteous collaborates with ambitious brands across various industries, including finance and healthcare, to drive digital transformation by creating innovative and seamless customer experiences through advanced technologies such as AI, cloud, and data...

Internet Software & Services
1K-5K
Founded 2003
View All Jobs 13

Description

  • Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake.
  • 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 dbt, Git, and orchestration tools such as Airflow.
  • Leverage advanced Snowflake features such as 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.
  • Promote and enforce information security practices, including acceptable use, malware protection, password security, and data protection standards.

Requirements

  • 5+ years of data engineering experience, including 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.
  • Programming proficiency in Python for data processing, automation, and scripting.
  • Experience with GenAI and AI-assisted development tools such as Claude Code, ChatGPT/OpenAI, GitHub Copilot, or Cursor.
  • 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.

Benefits

  • Salary range of $91,000 to $119,000 per year.
  • Eligibility for visa sponsorship for qualified candidates.
  • Remote work location (#BI-Remote, #LI-Remote).
  • Equal opportunity employer committed to non-discrimination across protected categories.

Interested in this position?

Apply directly on the company website

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