Trips Recruiting
Job Description
Job Description
Role:
Senior Data Engineer (WebMD) Location:
Hybrid (US) Type:
Full-time (Permanent) Comp:
$144,000$160,000 base + discretionary bonus Summary: Were seeking a
Senior Data Engineer
to design, build, and maintain robust data pipelines and models supporting analytics and business intelligence at WebMD. The ideal candidate will have deep experience across Microsofts data stackparticularly Azure Data Factory, Synapse, SSIS, SQL, Power BI, and DAX. Responsibilities: Design and implement scalable data pipelines in Azure Data Factory and Synapse
Develop and optimize ETL processes using SSIS and SQL
Build and maintain data models (including star schema designs) for reporting and analytics
Collaborate with analysts and business users to design efficient data flows into Power BI dashboards
Ensure data accuracy, quality, and security throughout all stages of the data lifecycle
Develop reusable data solutions and automation scripts to streamline operations
Optimize large datasets for performance and cost efficiency
Support cloud data architecture design and best practices in Azure
Required Skills: 7+ years of experience as a Data Engineer or BI Developer
Strong SQL and DAX skills
Hands-on experience with Azure Data Factory, Synapse, and SSIS
Expertise in data modeling and ETL development
Experience with Power BI and building enterprise-grade dashboards
Proven ability to manage large data volumes and performance tuning
Preferred Skills: Azure Cloud certification(s)
Familiarity with data science or machine learning environments
Experience with HIPAA or healthcare data privacy standards
Job Description
Role:
Senior Data Engineer (WebMD) Location:
Hybrid (US) Type:
Full-time (Permanent) Comp:
$144,000$160,000 base + discretionary bonus Summary: Were seeking a
Senior Data Engineer
to design, build, and maintain robust data pipelines and models supporting analytics and business intelligence at WebMD. The ideal candidate will have deep experience across Microsofts data stackparticularly Azure Data Factory, Synapse, SSIS, SQL, Power BI, and DAX. Responsibilities: Design and implement scalable data pipelines in Azure Data Factory and Synapse
Develop and optimize ETL processes using SSIS and SQL
Build and maintain data models (including star schema designs) for reporting and analytics
Collaborate with analysts and business users to design efficient data flows into Power BI dashboards
Ensure data accuracy, quality, and security throughout all stages of the data lifecycle
Develop reusable data solutions and automation scripts to streamline operations
Optimize large datasets for performance and cost efficiency
Support cloud data architecture design and best practices in Azure
Required Skills: 7+ years of experience as a Data Engineer or BI Developer
Strong SQL and DAX skills
Hands-on experience with Azure Data Factory, Synapse, and SSIS
Expertise in data modeling and ETL development
Experience with Power BI and building enterprise-grade dashboards
Proven ability to manage large data volumes and performance tuning
Preferred Skills: Azure Cloud certification(s)
Familiarity with data science or machine learning environments
Experience with HIPAA or healthcare data privacy standards