Resource Informatics Group, Inc

EXclusive - Very Fast Moving - Senior SQL Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior SQL Data Engineer in Seattle, WA, with a contract duration starting at 6 months. Pay rate is DOE. Requires 12+ years of SQL development and data systems experience, plus 3+ years with cloud-native platforms and DevOps practices.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 22, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Seattle, WA
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🧠 - Skills detailed
#ML (Machine Learning) #Infrastructure as Code (IaC) #Redshift #Cloud #Schema Design #Data Modeling #Automation #AI (Artificial Intelligence) #Programming #Terraform #Microservices #Security #Data Quality #Data Pipeline #Azure #Databricks #MySQL #SQL (Structured Query Language) #Scala #Python #Data Science #GCP (Google Cloud Platform) #Snowflake #DevOps #Data Security #Data Engineering #AWS (Amazon Web Services) #Data Architecture #Databases #PostgreSQL #MongoDB #Batch #BigQuery #NoSQL
Role description
Role: Senior SQL Data Engineer Location: Seattle, WA Duration: Start with 6 months but go long term Rates: DOE Prefer locals Job Responsibilities: β€’ Develop data engineering solutions, design and develop data pipelines to support Product, business and Data Science teams specific data needs. β€’ Design and develop data architectures in on-premise, cloud and hybrid platforms β€’ Collaborate with cross-functional teamsβ€”including product, security, privacy, operations, and partnersβ€”to understand data needs, define and deliver features, model data using relational and NoSQL systems, and develop pipelines that are scalable, repeatable, secure, and aligned with data quality standards. β€’ Drive automation and optimization of data workflows using AI/ML techniques. β€’ Mentor other team members in their efforts to build data engineering skillsets β€’ Assist team management in defining projects, including helping estimate, plan and scope work Work Experience: β€’ 12+ years of experience in designing and building scalable data systems, including both batch and event driven data pipelines. β€’ 12+ years of SQL Developement experience β€’ 3+ years of experience working with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra), including schema design, performance tuning, and optimization. β€’ 2+ years of experience building and maintaining cloud-native data platforms using AWS, Azure, or GCP, with hands-on experience in services like Redshift, BigQuery, Snowflake, or Databricks. β€’ 3+ years of experience implementing DevOps practices and infrastructure as code using tools like Terraform, CloudFormation β€’ Strong programming skills in Python, SQL, with experience building data tooling and APIs. β€’ Solid understanding of distributed systems, data modeling, and microservices architecture. β€’ Familiarity with data security best practices, including encryption, access control, and privacy-forward design principles. β€’ Passion for solving complex problems, learning new technologies, and enabling AI innovation through robust data engineering