Data Engineer

Insight Global

Seattle, WA, United States

13 days ago

Apply on dejobs.org

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

Amazon Web Services Business Analytics Applications Microsoft Azure Business Software Continuous Integration Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Microsoft SQL Server

+9 more

Project Management Information Systems Power BI Microsoft SharePoint Software Deployment Enterprise Integration Data Pipelines Powerapps Legacy Systems Databricks

Job description

The ideal candidate is a hands-on Data Engineer who has successfully delivered enterprise integration and reporting solutions using Databricks, Python, SQL Server, and Power BI. They are comfortable building data pipelines from scratch, troubleshooting complex data issues, and working closely with both technical and business teams. They understand how to migrate organizations from legacy systems to modern analytics platforms while creating scalable, reusable data assets that support long-term business transformation.

Requirements

5+ years of Data Engineering experience in enterprise environments.
Experience building and supporting ETL/ELT pipelines at scale.
Experience integrating data from multiple source systems and business applications.
Strong experience supporting reporting and analytics platforms.
Experience working within data governance, security, and architecture standards.
Experience documenting technical solutions and supporting production deployments. * Experience with Kahua platform integrations.
Experience with project management information systems (PMIS).
Experience integrating data from SharePoint, Power Apps, and Prophix.
Azure or AWS cloud platform experience.
Power BI report development experience.
CI/CD pipeline experience.
Experience supporting data warehouse modernization initiatives.