{"id":3681423,"url":"https://alion.io/job/webmd-bi-engineer","title":"BI Engineer","company":{"id":4583,"name":"WebMD","domain":"webmd.com","url":"https://alion.io/company/webmd","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Navi Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitLab CI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Slack","optional":false},{"name":"SQL","optional":false},{"name":"Vertica","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Looker","optional":true},{"name":"Power BI","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Tableau","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-03T13:16:18Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T18:42:24Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Description\nPosition at WebMD\nAbout the Company:\nMedscape 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\nreference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers.\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status\nDo 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\neducation 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.\nResponsibilities:\nWith guidance from the director and in collaboration with the Analytics and Automation team, you will:\nCollaborate with business users to gather reporting requirements and define automation objectives.\nArchitect, code, test, and deploy Python scripts/applications to extract data, transform it, and generate scheduled reports.\nIntegrate with data sources such as databases (Vertica), REST APIs, CSV/Excel files, and cloud data stores.\nBuild dynamic report templates (PDF, Excel, HTML, dashboards) and automate distribution via email, shared drives, Slack, or other channels.\nIncorporate logging, error handling, retry logic, and alerting to ensure end- to-end reliability.\nManage version control (Git).\nMonitor automation performance; troubleshoot production issues and deliver timely fixes.\nDocument automation architecture, codebases, and operational runbooks; share best practices.\nContinuously evaluate new tools, libraries, and frameworks to enhance automation capabilities.\nQualifications:\nBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.\n3+ years in automation or software engineering roles.\nProven track record developing Python scripts/apps for ETL, data processing, and reporting.\nStrong Python proficiency and libraries (pandas, requests, Jinja2, PyPDF2, openpyxl….).\nSolid SQL skills for querying and transforming data.\nFamiliarity with REST APIs, JSON/XML parsing, and authentication.\nExperience generating/formattings reports (Excel, PDF, HTML).\nCI/CD pipeline experience (GitLab CI).\nVersion control (Git) and collaborative workflows.\nKnowledge of security best practices for handling sensitive data.\nExcellent numerical and analytical skills, with exceptional attention to detail\nStrong problem-solving ability and ability to work quickly under pressure\nOutstanding time management, organizational skills, and documentation practices\nClear verbal and written communication, capable of translating technical concepts for non-technical stakeholders\nPreferred Qualifications:\nFamiliarity with cloud platforms (AWS, Azure, GCP) for compute, storage, or serverless.\nExposure to BI tools (Tableau, Power BI, Looker) and programmatic interfaces.\nunderstanding of AI/ML processing frameworks and techniques (e.g. TensorFlow, PyTorch, scikit-learn) and how they can be integrated into automation workflows\nExperience in big data environments\nExperience working in a sales-driven or highly matrixed 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