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.
Your Mission
- 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
Your Competencies
- 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
Requirements
- 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
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