Senior Snowflake Data Engineer - 1615

aKube; Burbank (IL); Hybrid; USD 110,208 - 137,760; Full time

Job summary

aKube is seeking a Data Engineer in Burbank, United States. The role requires extensive knowledge in Snowflake and Python, focusing on migrating Azure Data Factory pipelines to Snowflake solutions. Responsibilities include building pipelines, optimizing performance, and supporting scalable enterprise data warehousing platforms.

The successful candidate will have 5+ years of experience and demonstrate strong skills in Snowpark and advanced SQL. The position offers a hybrid work model requiring 4 days onsite.

Qualifications

• 5+ years of hands‑on Data Engineering experience.
• Strong hands‑on Snowflake experience in production environments.
• Ability to work independently in a task-oriented engineering role.

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.

Skills

Snowflake

Snowpark

Python

Advanced SQL

REST API integration

Agile / Scrum

Job description

Burbank, United States | Posted on 05/22/2026

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
• 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
• Snowflake Private Data Sharing
• Real-time or streaming data pipeline experience