Python & Integrations Engineer - Data Pipelines & Cloud Integrations

Level: Mid–Senior (individual contributor with mentoring responsibilities)

About the Role

We're looking for a Python-focused engineer who can independently own the design, build, and reliability of integrations, ETL processes, and data pipelines across a complex, multi-system landscape. You'll write production Python, connect systems through REST and GraphQL APIs, keep data flowing cleanly across cloud services, mentor more junior developers, and act as a technical point of contact across delivery, engineering, and product teams. Experience with clinical-trial technology is a strong plus.

• Independently analyze, design, program, unit test, troubleshoot, and debug integrations, digital pipelines, and ETL processes in Python, with a focus on efficiency and reliability.
• Build and maintain API-based integrations (REST and GraphQL) between internal and third-party systems.
• Leverage cloud computing and microservices architecture to enable and scale integrations in cloud environments.
• Understand, troubleshoot, and manage interdependencies across multiple software systems to ensure smooth data flows and integrations.
• Monitor changes in product software and infrastructure to identify potential impacts on CIS deliverables, proactively addressing dependencies and conflicts.
• Perform code reviews of work written by other team members, with a focus on integration reliability and data integrity.
• Manage assigned tasks and follow up on items requiring clarification with the relevant teams.
• Record and track defects uncovered during test execution, and actively participate in their resolution.
• Manage multiple projects and tasks effectively, delivering on time while adapting as priorities shift.
• Mentor, supervise, and provide technical leadership to more junior developers.
• Stay current on the latest Medidata products, their functionality, and features.
• Network with key contacts inside the delivery unit and beyond your own area of expertise.
• Ensure all relevant Medidata SOPs and Work Instructions (WIs) are followed.
• Complete documentation and procedures for installation and maintenance.

• Strong hands-on Python development for integrations, automation, and data processing (writing, testing, debugging, and maintaining production code).
• Design and consume APIs (REST and GraphQL), handling authentication, pagination, rate limits, and error handling robustly.
• Gather business requirements, write specifications and code, and perform unit testing and debugging of applications.
• Translate business requirements into functional requirements, well-defined user stories, and clear acceptance criteria.
• Challenge inefficient or counterproductive processes and establish/deploy improved ones; strong change-management and collaboration skills.
• Work independently on projects while collaborating with others when needed to reach shared goals.
• Overcome obstacles, troubleshoot, and drive issues to resolution.
• Identify risks (technical and timeline) to deliverables and raise them for discussion and guidance with senior team members.
• Work across teams with widely varying skill sets.
• Perform in-depth, code-level debugging of your own and others' code.
• Communicate complex technical information to non-technical audiences.
• Engage confidently with clients, Project Managers, Engineering, and Product teams.
• Results-driven, data-driven, entrepreneurial, and action-oriented, with strong attention to detail.
• Occasional weekend work in support of product deployments.

• Bachelor's degree in Computer Science or equivalent, with a minimum of 5 years of related experience.
• Strong, demonstrable proficiency in Python for integrations, ETL, and automation.
• Solid experience building and consuming REST APIs; hands-on experience with ETL processes and data pipelines.
• Excellent verbal/written communication and organizational skills.
• Proficiency with AWS.
• Experience with cloud-native monitoring and observability tools (e.g., AWS CloudWatch, Grafana) to assess system reliability.
• Experience with CI/CD pipelines (e.g., GitHub Actions).
• Familiarity with relational databases such as MS SQL, PostgreSQL, or MySQL.
• Familiarity with microservices and cloud-native integration patterns.
• Familiarity with complex system migrations.
• Familiarity with software development processes.
• Knowledge of Artificial Intelligence methods and their scope of applicability.

Preferred

• Experience with GraphQL APIs.
• Experience with clinical-trial software technology.
• Familiarity with Ruby on Rails or other scripting languages.
• Experience with PowerShell.
• Familiarity with mobile app development.