Data Engineer Job ID 2025-9438

Description

Position at WebMD

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.

The ideal candidate has experience and passion for data engineering. They are an expert in their field – whether that be the front end (data visualization, DAX, Power BI, SQL) or the back end (SSIS, Azure Data Factory, Synapse, data modeling, SQL) of the data engineering world.

Exhibits expert knowledge of architecture and system design principles. This person has a consistent record of very strong ownership for their area, and is considered the guru in their technical space. This person is able to solve complex cross-functional challenges and perform complex analysis of business needs and provide innovative solutions. Works across the organization to foster a culture of architecture that allows for iterative, autonomous development and future scaling. Guides teams in the organization in anticipation of future use cases and helps them make design decisions that minimize the cost of future changes.

DUTIES & 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 understandable fashion

Demonstrates proficiency by sharing learnings with the team and in technical showcases

Independently discovers solutions and collaborates on insights and best practices

Takes ownership of their work deliverables

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

Ensures that credit is shared and given when due

Works to build and improve strong relationships among team members

REQUIREMENTS

3+ 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

PREFERRED SKILLS AND KNOWLEDGE

Proficiency with data engineering in a cloud development environment - Microsoft Azure is preferred

Proficiency with self-service query tools and dashboards - preferably Power BI

Proficiency with 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