Senior Snowflake Data Engineer - 1615

aKube

  • Burbank, California
  • 25 days ago

    Highlights

    Build native Snowflake pipelines using Snowpark libraries, Tasks, Streams, and SQL transformations. Experience building scheduled jobs, Tasks, and orchestration workflows inside Snowflake.

    Numbers & Facts

    LocationBurbank, California
    Websiteakubeinc.com

    Description

    City: Burbank, CA
    Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)
    Duration: ​12 Months
    Rate Range: Upto $96/hr on W2
    Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

    Must Have:

    • Snowflake
    • Snowpark
    • Python
    • Advanced SQL
    • Azure Data Factory
    • ETL / ELT pipeline migration
    • Snowflake Tasks and Streams
    • Medallion Architecture (Bronze / Silver / Gold)
    • REST API integration
    • Agile / Scrum

    Responsibilities:

    • Migrate existing Azure Data Factory pipelines into native Snowflake solutions
    • Analyze existing ADF pipeline logic and replicate workflows using Snowpark and Python
    • Build native Snowflake pipelines using Snowpark libraries, Tasks, Streams, and SQL transformations
    • Develop Python scripts and scheduled jobs directly inside Snowflake
    • Optimize Snowflake warehouse sizing, compute usage, and job performance
    • Support the transition from analytics-focused workflows into a scalable enterprise data warehouse platform
    • Build and support Bronze, Silver, and Gold medallion data layers
    • Join and transform data from multiple systems for reporting, KPIs, and analytics
    • Work from clearly defined technical requirements and task assignments from engineering leadership
    • Ensure secure, scalable, and performant Snowflake implementations
    • Use AI-assisted development tools such as Cursor or Copilot to accelerate engineering delivery

    Qualifications:

    • 5+ years of hands-on Data Engineering experience
    • Strong hands-on Snowflake experience in production environments
    • Deep Snowpark experience including Snowpark libraries and native Snowflake processing
    • Strong Python coding skills for data engineering and automation
    • Advanced SQL experience including complex transformations and performance tuning
    • Experience reviewing and translating Azure Data Factory pipeline logic into Snowflake-native solutions
    • Experience with Snowflake warehouse optimization and cost management
    • Experience building scheduled jobs, Tasks, and orchestration workflows inside Snowflake
    • Experience with Medallion Architecture and enterprise data warehousing concepts
    • Experience in Agile/Scrum delivery environments
    • Ability to work independently in a task-oriented engineering role without ramp-up time

    Nice to Have:

    • Snowflake Cortex
    • Cursor, Claude, or Microsoft Copilot experience
    • AWS experience
    • CI/CD pipelines for data engineering
    • Snowflake Private Data Sharing
    • Real-time or streaming data pipeline experience


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