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

Description

  • Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake using diverse internal and external data 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 meet SLAs and control costs.
  • Build and maintain CI/CD pipelines for data infrastructure using dbt, Git, and orchestration frameworks such as Airflow.
  • Use advanced Snowflake capabilities such as Snowpipe, Streams, Tasks, Time Travel, Dynamic Tables, and Snowpark to support near-real-time automation.
  • Partner with analysts, data scientists, and business stakeholders to translate requirements into robust data solutions.
  • Mentor junior engineers, conduct code reviews, and establish data engineering best practices.
  • Promote information security awareness and help identify, assess, and report risks affecting information assets.
  • Ensure data privacy and protection requirements are considered across the information lifecycle.

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 using 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.
  • SnowPro Core or Advanced certification is preferred.
  • Experience with Snowpark, Snowflake Cortex, or building data applications on Snowflake is preferred.
  • Familiarity with streaming technologies such as Kafka or Kinesis is preferred.
  • Experience with infrastructure-as-code tools such as Terraform and containerization tools such as Docker and Kubernetes is preferred.
  • Background supporting BI and analytics tools such as Tableau, Power BI, or Looker is preferred.
  • Experience working in regulated industries or with sensitive data such as PII, PHI, or financial data is preferred.
  • Experience building data or analytics solutions with LLMs and GenAI frameworks such as prompt engineering, AI agents/copilots, Snowflake Cortex, OpenAI APIs, or LangChain is preferred.

Benefits

  • Bounteous is willing to sponsor eligible candidates for employment visas.
  • Remote work designation is included in the posting (#BI-Remote, #LI-Remote).
  • Equal opportunity employer with nondiscrimination protections across legally protected categories.

Interested in this position?

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