WebMD
Lead, Data Engineering – WebMD
WebMD is the most recognized and trusted brand of health information and a leading provider of health information services, serving consumers, physicians, healthcare professionals, employers, and health plans. The WebMD Health Network includes WebMD, Medscape, MedicineNet, eMedicine, RxList, theheart.org, and Medscape Education.
Equal Opportunity Employer : 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.
Seniority level: Mid-Senior level
Responsibilities
Builds software to extract, transform and load data – SSIS, Azure Data Factory, Synapse
Models data for efficient consumption by reporting and analytics tools – Azure Analysis Services, Power BI, SQL Databases
Maintains previously deployed software and reports – Power BI, SSIS, AAS, SQL Server
Designs dashboards and reports to meet business needs
Presents technical problems with solutions in mind, in a constructive and understood fashion
Demonstrates expert proficiency by sharing learnings with team and in technical sharing
Showcases independently discovers solutions and collaborates on insights and best practices
Takes ownership of team’s work deliverables and actively participates in mentoring of team members
Actively seeks out opportunities to help improve the team’s practices and processes to achieve fast flow
Works with other developers to facilitate knowledge transfer and conduct code reviews
Consistently works across the organization to enable teams to support each other
Ensures that credit is shared and given when due
Works to build and improve strong relationships across the organization
Leverages those relationships to better plan for and position the engineering organization
Leads strategic organizational decisions and plans
Consistently works at a strategic level, influencing decisions to achieve organizational alignment on major goals
Facilitates organization-wide discussions, ensuring that everyone has an opportunity to share their opinion and be heard, and that discussion outcomes tie to stated goals
Encourages quiet participants and ensures no one person dominates the conversation
Qualifications
7+ years of Data Engineering experience
Bachelor’s Degree in Information Systems, Computer Science, Business Operations, or equivalent work experience
Advanced experience with Standard Query Language (SQL) and data modeling/architecture
Advanced experience with Data Analysis Expressions (DAX)
Advanced experience and understanding of data integration engines such as SQL Server Integration Services (SSIS) or Azure Data Factory or Synapse
All offers are contingent upon the successful completion of a background check
Maintains previously deployed software and reports – Power BI
Preferred Skills
Advanced experience with data engineering in a cloud development – Microsoft Azure is preferred
Advanced experience with self-service query tools and dashboards – preferably Power BI
Advanced understanding of star schema design and managing large data volumes
Familiarity with data science and machine learning capabilities
Ability to interact with people, inside and outside the team, in order to see a project to completion
Experience protecting individual privacy such as required by HIPAA
Benefits
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)
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Equal Opportunity Employer : 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.
Seniority level: Mid-Senior level
Responsibilities
Builds software to extract, transform and load data – SSIS, Azure Data Factory, Synapse
Models data for efficient consumption by reporting and analytics tools – Azure Analysis Services, Power BI, SQL Databases
Maintains previously deployed software and reports – Power BI, SSIS, AAS, SQL Server
Designs dashboards and reports to meet business needs
Presents technical problems with solutions in mind, in a constructive and understood fashion
Demonstrates expert proficiency by sharing learnings with team and in technical sharing
Showcases independently discovers solutions and collaborates on insights and best practices
Takes ownership of team’s work deliverables and actively participates in mentoring of team members
Actively seeks out opportunities to help improve the team’s practices and processes to achieve fast flow
Works with other developers to facilitate knowledge transfer and conduct code reviews
Consistently works across the organization to enable teams to support each other
Ensures that credit is shared and given when due
Works to build and improve strong relationships across the organization
Leverages those relationships to better plan for and position the engineering organization
Leads strategic organizational decisions and plans
Consistently works at a strategic level, influencing decisions to achieve organizational alignment on major goals
Facilitates organization-wide discussions, ensuring that everyone has an opportunity to share their opinion and be heard, and that discussion outcomes tie to stated goals
Encourages quiet participants and ensures no one person dominates the conversation
Qualifications
7+ years of Data Engineering experience
Bachelor’s Degree in Information Systems, Computer Science, Business Operations, or equivalent work experience
Advanced experience with Standard Query Language (SQL) and data modeling/architecture
Advanced experience with Data Analysis Expressions (DAX)
Advanced experience and understanding of data integration engines such as SQL Server Integration Services (SSIS) or Azure Data Factory or Synapse
All offers are contingent upon the successful completion of a background check
Maintains previously deployed software and reports – Power BI
Preferred Skills
Advanced experience with data engineering in a cloud development – Microsoft Azure is preferred
Advanced experience with self-service query tools and dashboards – preferably Power BI
Advanced understanding of star schema design and managing large data volumes
Familiarity with data science and machine learning capabilities
Ability to interact with people, inside and outside the team, in order to see a project to completion
Experience protecting individual privacy such as required by HIPAA
Benefits
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)
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