Overview
On Site
Hybrid
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Skills
Design Of Experiments
Software Design
Data Science
Collaboration
Data Quality
Workflow
Machine Learning (ML)
Mentorship
Team Management
NoSQL
Database
PostgreSQL
MySQL
MongoDB
Apache Cassandra
Performance Tuning
Optimization
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Amazon Redshift
Snow Flake Schema
Databricks
DevOps
Terraform
Python
SQL
Data Modeling
Microservices
Data Security
Encryption
Access Control
Privacy
Artificial Intelligence
Innovation
Data Engineering
Job Details
Role: Senior SQL Data Engineer
Location: Seattle, WA
Duration: Start with 6 months but go long term
Rates: DOE
Prefer Locals
Job Responsibilities:
- 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 NoSQL 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
Work Experience:
- 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 NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, 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, BigQuery, Snowflake, or Databricks.
- 3+ years of experience implementing DevOps practices and infrastructure as code using tools like Terraform, CloudFormation
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.