Senior Integration Developer Jobs in Frisco, TX (NOW HIRING)

Job Summary

We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Stellus Rx improves ease and outcomes in every moment that matters, along every health journey.

Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible. The Senior Integration Engineer for Stellus Rx will help our communities thrive as a key member of the Technology Team. You will work closely with Stellus Rx leaders and across the organization, as we work collaboratively to unlock the health of millions of Americans by turning "use as prescribed" into a guarantee, not a direction. We are a culture that is unabashedly driven by purpose. We are making a difference to our patients and team members while growing at an accelerated rate.

The Senior Integration Engineer designs and implements integration solutions for data from APIs/Events/Batch based systems.

Accountabilities:

• The Senior Integration Engineer supports various projects, identifies business needs, and proposes IT solutions to existing components and ensures that final solutions meet organizational needs.
• Develops and implements solutions that integrate data across the enterprise by evaluating existing components or systems to determine integration requirements and ensures that final solutions meet the organization's needs.
• Knowledge of the latest integration solutions and problem-solving methods using creativity, customer service, and teamwork.

Role and Responsibilities:

• Design, development, and maintenance of metadata driven data pipeline automation framework(s) for batch, event, and streaming data in cloud native environment.
• Perform deep-dive analysis to understand and solve integration needs between data sources and applications
• Build integration solutions based on principles of reusability, security, scalability, and quality
• Collaborate and communicate with the broader Engineering and Product Teams
• Embrace modern technologies and work with various tools and technologies to achieve desired functionality
• Participate in code and architectural reviews
• Rapid prototyping and presenting proof of concepts for key technology decisions to collaborators and other technology leaders
• Build end to end data pipelines from source to target ensuring data quality, consistency and observability using DataOps principles
• Utilize IT documents, charts, and drawings as tools to enhance, document, and control integration and interface information.

Qualifications and Requirements:

• Bachelor's degree in Computer Science or equivalent
• 3+ years of deep hands-on experience with multiple integration solutions and architectures, integration and API engineering, cloud technologies, and data modeling
• 1+ years of hand on experience in metadata management, metadata driven automation and developer efficiency tooling
• 1+ years of cloud native data solutions enabling Analytics, Operational, Data Science and ML use cases
• 1+ year event-driven and streaming solutions in cloud native environment
• 2+ years with advanced SQL and scripting (python/bash etc.) development
• Demonstrable track record of shipping and supporting high-performing and secure SaaS web applications and 3rd party integration
• Understanding of Web Services protocols such as REST, GraphQL and API design for extensibility and portability.
• 1+ year of hand on cloud expertise (preferably AWS) with strong understanding of SaaS models
• Knowledge in engineering practices such as code refactoring, design patterns, design driven development, continuous integration, building highly scalable applications and security.
• High proficiency in English

Preferred Experience:

• Master's degree or higher in Computer Science, Mathematics, Statistics, or similar analytical field
• Health care and pharmaceutical experience
• Experience working/collaborating with Master Data Management, Metadata Management and Data Governance
• Experience working with AWS Glue (PySpark) and Snowflake