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Senior Data Engineer - Snowflake Migration & Python

Company:
aKube, Inc.
Location:
Burbank, CA, 91502
Posted:
April 04, 2026
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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

SQL

Azure Data Factory

ETL / data pipeline migration

REST API integration

Agile / Scrum

AI-assisted development tools such as Cursor or Microsoft Copilot

Responsibilities:

Build, refactor, and support enterprise data pipelines for data collection, transformation, and delivery

Develop and maintain Snowflake-based data solutions using Snowpark, Python, and SQL

Migrate existing Azure Data Factory pipelines into Snowflake Snowpark solutions

Join and transform data from multiple source systems for reporting, dashboards, KPIs, and analytics use cases

Implement infrastructure that supports secure data storage, processing, and retrieval in Snowflake

Execute work from defined requirements, technical designs, and priorities set by team leads and architects

Identify delivery risks, technical issues, or blockers and escalate as needed

Manage assigned tasks and deliverables against project timelines and sprint commitments

Apply performance tuning and optimization across Python and SQL workflows

Use AI-assisted development tools to support coding, refactoring, debugging, and documentation while following engineering standards

Validate AI-generated output to ensure security, quality, performance, and governance requirements are met

Share AI tool usage patterns and best practices with the broader engineering team

Qualifications:

3 to 5+ years of experience in Data Engineering or Data Integration roles

Strong hands-on experience with Snowflake in a production environment

Strong hands-on experience with Snowpark pipeline development

Senior-level Python skills for data engineering and integration workloads

Advanced SQL skills, including complex transformations and query tuning

Experience working with Azure Data Factory and translating pipeline logic into Python-based implementations

Experience migrating ETL or data pipelines across cloud platforms, especially from Azure to Snowflake

Experience working with REST APIs using Python

Experience in Agile/Scrum teams with sprint-based delivery

Understanding of data security, governance, and enterprise engineering standards

Bachelor's degree or equivalent practical experience

Nice to Have:

Snowflake Tasks and Streams

Snowflake warehouse configuration and optimization

AWS experience

Azure experience

CI/CD for data engineering workflows

Experience with large-scale cloud data migration projects

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