Data Engineer

Description

Position at WebMD

Medscape, 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.

WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

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 our team! Medscape Education is seeking a passionate, adaptable, and team-oriented Data Infrastructure 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:

• Develop and maintain tables and schemas in the data warehouse according to defined data models

• Build, optimize, and operate end-to-end ETL workflows (ingest, transform, load) on Linux servers using cron scheduling and shell or Python scripting

• Lead the data QA process: define and execute profiling, validation, reconciliation, and testing procedures to ensure data accuracy and integrity

• Monitor ETL jobs, troubleshoot failures, and implement automated alerts and recovery mechanisms

• Collaborate with data analysts, data scientists, and other stakeholders to translate requirements into scalable data solutions

• Partner with other team members to build, deploy, and maintain Tableau and/or Looker dashboards and reports

• Identify and resolve performance bottlenecks in SQL queries, ETL code, and data models

• Document ETL workflows, data quality checks, server configurations, and operational runbooks

Qualifications:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Infrastructure Engineering, or a related discipline; Master’s degree is a plus

• At least 3 years hands-on experience designing and building ETL pipelines

• Expert-level SQL skills (complex querying, optimization, performance tuning)

• Proficiency in a scripting language for ETL orchestration (Python, Bash, etc.)

• Hands-on experience with data warehouse design and table/schema creation (Vertica preferred)

• Solid understanding of data modeling for both OLTP and OLAP systems

• Experience with data quality assurance processes (profiling, validation, reconciliation, QA testing)

• Strong Linux proficiency (shell scripting, cron job scheduling, log monitoring, process management)

• 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:

• Experience with Google Cloud Platform services (BigQuery, Dataflow, Cloud Storage, IAM)

• Prior experience with business intelligence and visualization tools (Tableau, Looker)

• Experience in big data environments

• Experience working in a sales-driven or highly matrixed organization

Compensation range: $110,000 - $130,000 per year

Bonus Eligible:

This position is also eligible for a discretionary company bonus, based upon business results.

Benefits:

Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:

• Health Insurance (medical, dental, and vision coverage)

• Paid Time Off (including vacation, sick leave, and flexible holiday days)

• 401(k) Retirement Plan with employer matching

• Life and Disability Insurance

• Employee Assistance Program (EAP)

• Commuter and/or Transit Benefits (if applicable)

Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.