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Senior Snowflake Data Engineer - 1615

aKube Inc
Posted a month ago, valid for 3 days
Location

Burbank, CA 91503, US

Salary

$96 per hour

Contract type

Full Time

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Sonic Summary

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  • A Data Engineer position is available in Burbank, CA, requiring 5+ years of hands-on experience in Data Engineering and a strong background in Snowflake and Snowpark.
  • The role is hybrid, with 4 days onsite per week, and offers a duration of 12 months with a pay rate of up to $96 per hour on W2.
  • Key responsibilities include migrating Azure Data Factory pipelines to Snowflake, developing Python scripts, and optimizing data warehouse performance.
  • Candidates must have advanced skills in SQL, experience with ETL/ELT pipeline migration, and familiarity with Medallion Architecture.
  • Work authorization is open to GC, USC, and all valid EADs except OPT, CPT, and H1B.
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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