Kinect

Sr. Data Engineer (Snowflake)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer (Snowflake) on a 6+ month W2 contract, hybrid in the LA area. Requires 5+ years of data engineering experience, strong Snowflake and SQL skills, and familiarity with financial datasets and orchestration tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
720
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πŸ—“οΈ - Date
May 21, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Burbank, CA
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🧠 - Skills detailed
#Scala #dbt (data build tool) #Datasets #Data Quality #SAP #ML (Machine Learning) #Automation #"ETL (Extract #Transform #Load)" #Data Modeling #Data Pipeline #AI (Artificial Intelligence) #Python #Snowflake #Airflow #SQL (Structured Query Language) #Data Engineering
Role description
Location: Must currently reside in the LA area. Schedule: Hybrid β€” 4 days onsite per week Terms: 6+ month contract - W2 only Company: Major entertainment/media company Overview The team is building a new Snowflake-based data platform focused on financial planning, technology spend, operational reporting, and analytics. This role will help design, build, automate, and optimize scalable enterprise data solutions supporting cross-functional business and technology teams. Responsibilities β€’ Design, build, automate, and maintain scalable data pipelines bringing together financial and operational data into Snowflake β€’ Develop robust data models and semantic layers to support reporting and analytics β€’ Write performant SQL and Python code to automate allocation engines, cost pool processing, and service-level analytics β€’ Partner closely with product managers, finance teams, AI/ML engineers, and QA teams β€’ Utilize orchestration/workflow tools such as DBT, Airflow, and Snowflake Tasks β€’ Implement reconciliation processes, data quality checks, and IT controls β€’ Support ongoing platform optimization, tuning, and operational support Required Qualifications β€’ 5+ years of experience as a Data Engineer β€’ Strong hands-on experience with Snowflake β€’ Advanced SQL expertise including CTEs, window functions, data modeling, and transformations β€’ Python experience for ETL/ELT, automation, or analytics β€’ Experience building scalable and maintainable enterprise data pipelines β€’ Experience working with financial datasets, cost allocation models, planning, spend, or recovery models β€’ Familiarity with DBT, Airflow, or similar orchestration tools β€’ Experience with enterprise systems such as SAP, ServiceNow, Cognos Planning, Clarity, etc. β€’ Strong communication and cross-functional collaboration skills Preferred Qualifications β€’ Experience with Snowflake Cortex AI β€’ Familiarity with Technology Business Management (TBM) frameworks/methodologies β€’ Strong understanding of corporate finance and accounting processes Education β€’ STEM Bachelor’s Degree plus 5+ years of relevant experience If interested, please apply or message directly with your resume.