Lead, Data Engineering

WebMD - Newark, NJ

Full-time - Senior

Newark, NJ

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Lead, Data Engineering position at WebMD focuses on leveraging data engineering expertise to enhance health education delivery through innovative technological solutions. The role requires a strong background in both front-end and back-end data engineering, with responsibilities that include building software for data extraction, transformation, and loading, as well as modeling data for reporting and analytics. The ideal candidate will exhibit strong ownership of their work, guide teams in architectural decisions, and foster a collaborative culture within the organization.

Responsibilities

• Builds software to extract, transform and load data using SSIS, Azure Data Factory, and Synapse.
• Models data for efficient consumption by reporting and analytics tools such as Azure Analysis Services, Power BI, and SQL Databases.
• Maintains previously deployed software and reports including Power BI, SSIS, AAS, and 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 the team and in technical 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.

Requirements

• 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

Nice-to-haves

• 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