Sr. Data Engineer- Snowflake, Azure, SaaS, Python

the position At Streamline, we are experts in Enterprise Mobility, Product Engineering, and IT Transformation.

We help organizations navigate the constantly evolving landscape of IT.

Our sole focus is ensuring that our client’s organization is armed with the strategies, products and solutions that are transformative to their business.

Streamline works closely with our clients, takes pride in developing genuine relationships and embraces open communication and collaboration with our clients.

We become a part of our client’s team, working together to achieve short-term goals and enable long-term success.

Our team is comprised of world-class strategists, architects, engineers, and developers.

In our flagship product, iEnterprise, we are taking things to the next level, using our collective experience and customer input to create new enterprise mobility management products that reduce operational costs, prevent issues before they happen, and resolve issues faster than with traditional tools and approaches.

Role Summary This is a full-time remote opportunity.

The Senior Data Engineer designs, builds, and optimizes data pipelines that move, transform, and load data into Snowflake using Azure services and serverless components.

The role focuses on production-grade engineering: automating data quality, improving reliability, and continuing to optimize cloud infrastructure costs.

Responsibilities • Design, develop, and deploy Azure Functions and broader Azure data services to extract, transform, and load data into Snowflake data models and marts.

Requirements • Strong expertise with Azure data stack (e.g., Azure Functions, Azure Data Factory, Event/Service Bus, storage) and Snowflake for analytical workloads.

Benefits • A challenging and rewarding role in a dynamic and international environment.

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