Senior Snowflake Data Engineer - 1615

Burbank, CA, US • Posted 5 days ago • Updated 10 hours ago
Full Time
On-site
USD 96.00 per hour
Fitment

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Job Details

Skills

  • Employment Authorization
  • ELT
  • Migration
  • RESTful
  • ADF
  • Scripting
  • Reporting
  • KPI
  • Analytics
  • Leadership
  • Artificial Intelligence
  • Python
  • SQL
  • Performance Tuning
  • Microsoft Azure
  • Warehouse
  • Optimization
  • Cost Management
  • Orchestration
  • Workflow
  • Data Warehouse
  • Agile
  • Scrum
  • Microsoft
  • Amazon Web Services
  • Continuous Integration
  • Continuous Delivery
  • Data Engineering
  • Snow Flake Schema
  • Real-time
  • Streaming
  • Extract
  • Transform
  • Load

Summary

Job 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: 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1d3dc7
  • Position Id: 24501a9723270c14fd1f1e9454713262
  • Posted 5 days ago
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