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iLink Digital

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2022 Microsoft US Partner Award in Power BI | Set your goals, we'll help you achieve them.

Bothell, Washington

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IT Services and IT Consulting
1,001–5,000 people

About

Established in 2002, iLink Digital, an ISO 9001 and CMMI L3 accredited company is a global leader in digital transformation. We specialize in Data Engineering, Generative AI, Cloud Operations, Business Applications, and RPA consulting. With over two decades of IT excellence, our 2,500 experts across 18 offices serve Fortune 1000 clients worldwide. We proudly partner with industry leaders like Microsoft, Salesforce, AWS, UiPath, Outsystems, Databricks, and Confluent, earning multiple Microsoft Partner of the Year awards. iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems User Experience design, etc. What makes iLink Digital's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

Open positions

Senior Data Engineer

On-site

This is a hands‑on delivery role centered on legacy data platform migration and the implementation of a medallion (lakehouse) architecture. The engagement is designed to demonstrate the technical fit and business value of Microsoft Fabric as the target platform for modernization. Key Responsibilities Lead the migration of a legacy data warehouse to Microsoft Fabric, including data store migration and implementation of a medallion (lakehouse) architecture Conduct a Microsoft Fabric fitment assessment, addressing technical considerations such as wide tables, long column names, data‑type mappin…

Sr Data Engineer -

On-site · Toronto

Design and optimize scalable data and machine learning platforms using Databricks and Spark. This includes owning end-to-end data pipelines, ML workflows, and implementing RAG and LLM-based solutions.

Sr Data Engineer -

On-site · Toronto

Design, build, and optimize scalable data and machine learning platforms using Databricks and Spark. Manage end-to-end data pipelines, ML workflows, and production AI systems while ensuring data quality and security.