Exclusive Senior SQL Data Engineer

Role:
Senior SQL Data Engineer

Location:

Seattle, WA

Duration:
Start with 6 months but go long term

Rates: DOE

Prefer Locals

• Develop data engineering solutions, design and develop data pipelines to support Product, business and Data Science teams specific data needs.
• Design and develop data architectures in on-premise, cloud and hybrid platforms
• Collaborate with cross-functional teams including product, security, privacy, operations, and partners to understand data needs, define and deliver features, model data using relational and No
  
  SQL systems, and develop pipelines that are scalable, repeatable, secure, and aligned with data quality standards.
• Drive automation and optimization of data workflows using AI/ML techniques.
• Mentor other team members in their efforts to build data engineering skillsets
• Assist team management in defining projects, including helping estimate, plan and scope work

• 12+ years of experience in designing and building scalable data systems, including both batch and event driven data pipelines.
• 12+ years of SQL Developement experience
• 3+ years of experience working with relational and No
  
  SQL databases (e.g., Postgre
  
  SQL, MySQL, Mongo
  
  DB, Cassandra), including schema design, performance tuning, and optimization.
• 2+ years of experience building and maintaining cloud-native data platforms using AWS, Azure, or Google Cloud Platform, with hands‑on experience in services like Redshift, Big Query, Snowflake, or Databricks.
• 3+ years of experience implementing Dev Ops practices and infrastructure as code using tools like Terraform, Cloud Formation
• Strong programming skills in Python, SQL, with experience building data tooling and APIs.
• Solid understanding of distributed systems, data modeling, and microservices architecture.
• Familiarity with data security best practices, including encryption, access control, and privacy-forward design principles.
• Passion for solving complex problems, learning new technologies, and enabling AI innovation through robust data engineering