BI Engineer

About the Company:

Medscape Education, a division of WebMD, develops and hosts physician portals and related mobile applications that make it easier for physicians and healthcare professionals to access clinical
reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status

Do you have a passion for processing raw data, developing and maintaining datasets, and improving data quality and efficiency? If the answer is yes, then we want you on your team! Medscape Education is seeking a passionate, adaptable, and team-oriented Quality Assurance Engineer to support independent medical education evaluation and grant-seeking efforts. By joining Medscape Education, the leading provider of medical
education for clinicians across the globe, you will have the opportunity to contribute to initiatives that truly make an impact on physicians, nurses, pharmacists, and other healthcare providers, and thus, the lives of those around you.

Responsibilities:

• With guidance from the director and in collaboration with the Analytics and Automation team, you will:

• Collaborate with business users to gather reporting requirements and define automation objectives.
• Architect, code, test, and deploy Python scripts/applications to extract data, transform it, and generate scheduled reports.
• Integrate with data sources such as databases (Vertica), REST APIs, CSV/Excel files, and cloud data stores.
• Build dynamic report templates (PDF, Excel, HTML, dashboards) and automate distribution via email, shared drives, Slack, or other channels.
• Incorporate logging, error handling, retry logic, and alerting to ensure end- to-end reliability.
• Manage version control (Git).
• Monitor automation performance; troubleshoot production issues and deliver timely fixes.
• Document automation architecture, codebases, and operational runbooks; share best practices.
• Continuously evaluate new tools, libraries, and frameworks to enhance automation capabilities.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
• 3+ years in automation or software engineering roles.
• Proven track record developing Python scripts/apps for ETL, data processing, and reporting.
• Strong Python proficiency and libraries (pandas, requests, Jinja2, PyPDF2, openpyxl….).
• Solid SQL skills for querying and transforming data.
• Familiarity with REST APIs, JSON/XML parsing, and authentication.
• Experience generating/formattings reports (Excel, PDF, HTML).
• CI/CD pipeline experience (GitLab CI).
• Version control (Git) and collaborative workflows.
• Knowledge of security best practices for handling sensitive data.
• Excellent numerical and analytical skills, with exceptional attention to detail
• Strong problem-solving ability and ability to work quickly under pressure
• Outstanding time management, organizational skills, and documentation practices
• Clear verbal and written communication, capable of translating technical concepts for non-technical stakeholders

Preferred Qualifications:

• Familiarity with cloud platforms (AWS, Azure, GCP) for compute, storage, or serverless.
• Exposure to BI tools (Tableau, Power BI, Looker) and programmatic interfaces.
• understanding of AI/ML processing frameworks and techniques (e.g. TensorFlow, PyTorch, scikit-learn) and how they can be integrated into automation workflows
• Experience in big data environments
• Experience working in a sales-driven or highly matrixed organization

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.