Senior Data Engineer: Azure Data Platform & DevOps Lead

Intellibee; Seattle (WA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Long-Term Stability

Comprehensive Health Coverage

Future Planning

Green Card assistance

Job summary

IntelliBee in Seattle seeks a Data Engineer to join our MarTech and Brand Technology team. You will build and maintain data pipelines using Azure Cloud, Databricks, and Snowflake, contribute to production deployments and on-call support, and promote DevOps practices across the team.

The role emphasizes knowledge sharing, documentation, and collaboration with other engineers to improve data models, security, and operational excellence.

Qualifications

• Bachelor’s degree or diploma in CS, SWE or related field.
• Azure certification is preferred.
• Experience with DBT/DLT and Medallion Architecture.
• Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts.
• Terraform and ARM templates experience preferred.

Responsibilities

• Data pipeline creation and maintenance using Azure Databricks, Snowflake, and Snowflake data views.
• Support CI/CD and production monitoring with a DevOps mindset.
• Participate in Agile ceremonies and incident management; on-call rotations.
• Research and implement product troubleshooting and optimization.
• Contribute to Engineering Community of Practice and knowledge transfer.

Skills

AzureCloud

DataEngineering

ETL/DataPipelines

CI/CD

Terraform

Education

Bachelor’s degree in CS/SWE or related field

Tools

Azure DevOps

Terraform

ARM templates

Snowflake

Databricks

DLT

Job description

IntelliBee in Seattle seeks a Data Engineer to join our MarTech and Brand Technology team. You will build and maintain data pipelines using Azure Cloud, Databricks, and Snowflake, contribute to production deployments and on-call support, and promote DevOps practices across the team.

The role emphasizes knowledge sharing, documentation, and collaboration with other engineers to improve data models, security, and operational excellence.