> Markdown version of [/jobs/ext/3801052-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3801052-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Insight Global - **Location:** Seattle, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JIRA, Microsoft Azure, Bug Tracking Systems, Cloud Storage, Continuous Integration, Information Engineering, Data Security, DevOps, Software Engineering, Enterprise Data Management, Azure Data Factory, Delivery Pipeline, Snowflake, Terraform, Data Pipelines, Databricks - **Published:** October 17, 2026 - **Apply:** https://dejobs.org/x/x/0C8B056F00FD470F83F4BE87C75D4F0F/job/ ## About the Role 7+ years' data engineering experience, with at least 5 years in an Azure environment. Experience with DBT/DLT and working with Medallion Architecture Experience with Azure Cloud deployments and Configurations. Experience with CI/CD principles and best practices including Azure DevOps and Repos. Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts. Experience working with a Data Engineering team and understanding of Data Engineering practices. Experience with bug tracking and task management software such as JIRA, etc. Experienced in managing outages, customer escalations, crisis management, and other similar circumstances. Azure certification is preferred. Experience with Terraform and ARM templates is preferred. ## Description We're hiring for a Senior Data Engineer in Seattle, WA to support a well-known athletic & lifestyle brand. You will be part of a day-to-day production release team and may perform on-call support functions as needed. Having a DevOps mindset is the key to success in this role, as Engineers are commonly part of full DevOps teams that "own" all parts of software development, release pipelines, production monitoring, security and support. Data Engineering Projects · Data pipeline creation and maintenance. · Create secure data views and publish them to the Enterprise Data Exchange via Snowflake for other teams to consume. · Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog. · Leverage existing CICD process for pipeline deployment. · Adhere to PII encryption and masking standards. DevOps Support · Support improvements to current CICD process. · Production monitoring and failure support. · Provide an escalation point and participate in on-call support rotations. · Participate in discussions on how to improve DevOps. · Be aware of product release and how that impacts our business. · Take part in Agile ceremonies. · Perform engineering assignments using existing procedures and best practices. · Conduct research to aid in product troubleshooting and optimization efforts. Participate in and contribute to our Engineering Community of Practice.