Data Engineer - Support Operations

Job Description

The Data Engineer will design, develop, and deliver reliable, scalable data management (acquisition, integration, transformation) using Dev Ops methodologies and DA&I Microsoft PaaS platforms. The role involves enabling DA&I solutions and services across the company, delivering outcomes through analytics and decision intelligence, and supporting 24/7/365 coverage with evening and weekend support rotations.

• Design, code, and test new data management solutions, including supporting applications and interfaces.
• Architect data structures to provision and ensure Data as a Service.
• Support development activity in various DA&I and Connected Enterprise projects for internal and external customers.
• Develop and test infrastructure components in cloud and edge-level environments.
• Monitor industry trends and identify opportunities to adopt new technologies.
• Manage the Dev Ops pipeline deployment model.
• Implement software across all environments.
• Use containerization models and collaborate with other engineers and architects to keep architecture current.
• Help support and enhance applications.
• Write high-quality code compliant with regulations.
• Collaborate with business systems analysts and product owners to define requirements.
• Assist colleagues through change and support change management processes.
• Demonstrate understanding of multiple viewpoints and use business insights to propose solutions.
• Model standards of behavior per the Company Code of Conduct.

• Bachelor's Degree in computer science, software engineering, management information systems, or a related field.
• Legal authorization to work in the US. Sponsorship for employment visas is not available.

• 5+ years of experience in relevant areas.
• Experience in systems development lifecycle.
• Experience in data management concepts and implementations.
• Experience with Agile development methodologies and system/process documentation.
• Experience with server-side architectures and containerization.
• Experience managing Service Now Queue, troubleshooting data integration failures, and engaging appropriate teams.
• Experience with SAP Data Service.
• Experience with Azure ADF, ADLS, SQL, Tabular models, or other domain-specific programming languages.
• Familiarity with business concepts and the effect of data on business processes.

• Health Insurance (Medical, Dental, Vision)
• 401(k)
• Paid Time Off
• Parental and Caregiver Leave
• Flexible Work Schedule

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.