Python & Integrations Engineer

Santo Domingo

DOP 1,200,000 – DOP 1,800,000

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.