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Snowflake Data Engineer- 1452

aKube
Contract
On-site
Seattle, Washington, United States
Data Engineering
City:  Seattle WA / Orlando FL 
Onsite/ Hybrid/ Remote: Hybrid (4 days a week Onsite)
Rate Range: Up to$92.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization: GC, USC, All valid EADs except H1b
Duration: 7 months

Must Have:

  • 4–6 years of experience with RDBMS
  • Hands-on experience with Databricks and Snowflake
  • Strong SQL and scripting capabilities (e.g., JavaScript, Python)
  • Experience with data aggregation and rationalizing software portfolios
  • Data modeling expertise (Data Vault or Dimensional Modeling)
  • Prior experience working in a large tech company
  • Cloud computing experience, particularly with AWS or Azure

Responsibilities:

  • Onboard, manage, and support non-relational database systems
  • Automate operational and business processes for distributed data platforms
  • Aggregate and consolidate data into Snowflake for enterprise-wide use
  • Collaborate with engineering teams to rationalize software portfolios
  • Design and implement data models optimized for Snowflake architecture
  • Monitor performance, ensure data security, and manage backup/recovery procedures
  • Develop and maintain technical documentation and standards
  • Troubleshoot and optimize complex SQL queries and cloud-based data solutions

Qualifications:

  • Bachelor’s degree in Computer Science, MIS, or related field
  • Expertise in SQL, scripting (JavaScript/Python), and ETL processes
  • Deep understanding of Snowflake features (e.g., semi-structured data handling, data sharing)
  • Strong performance tuning, validation, and data quality practices
  • Familiarity with integrating APIs, databases, and cloud storage solutions
  • Experience with security/compliance standards including RBAC in Snowflake
  • Excellent analytical thinking, problem-solving, and attention to detail
  • Strong communication and collaboration skills across cross-functional teams
  • Ability to adapt quickly to new Snowflake features and industry best practices