Design, code, and test new data management solutions, including data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS tools and DevOps methodologies.
Architect data structures and pipelines to enable "Data as a Service" across business units, ensuring scalability, reliability, and performance.
Develop and test infrastructure components in cloud and edge environments, leveraging tools like Azure ADF, ADLS, Databricks, and SAP Data Services.
Manage DevOps pipelines for continuous integration and deployment, and implement containerization models to support scalable deployments.
Collaborate with analysts, product owners, and business stakeholders to define requirements, write high-quality code, and support application enhancements.

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.
5+ years of experience in the full systems development lifecycle and Agile methodologies.
Proficiency in data management technologies such as Azure ADF, ADLS, SQL, Databricks, SAP Data Services, and tabular models.
Strong understanding of server-side architectures, containerization, and DevOps practices.
Experience providing engineering support to customer support team to resolve any critical customer issues and adapt quickly to new technologies and business needs.

Comprehensive mindfulness programs with a premium membership to Calm
Volunteer Paid Time off available after 6 months of employment for eligible employees
Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
Employee Assistance Program
Personalized wellbeing programs through our OnTrack program
On-demand digital course library for professional development
... and other local benefits!

Data Engineer

Key skills