Senior Data Engineer
Senior
Azure
Azure Data Factory
Azure Data Platform
Big Data
Bigdata
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Factory
Data Factory Azure
Data Integration
Data Lake
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Databricks
Dataops
ETL
Informatica
Information Technology (IT)
Integration
Microsoft Azure
Reporting and Analytics
SQL
Job Description
Senior Data Engineer role at United Therapeutics focused on designing and operating enterprise data and analytics infrastructure with reliable data delivery across the organization.
Responsibilities
- Design, build, and optimize ETL/ELT pipelines using Databricks and Azure Data Factory for enterprise data warehousing and analytics
- Partner with stakeholders to deliver data access and security controls
- Support daily data processing operations, including monitoring, alerting, and issue resolution
- Collaborate with analysts, data scientists, and other stakeholders to translate data requirements into solutions
- Provide technical guidance and mentorship to junior data engineers and teammates, including reviewing and validating work delivered by external consultants
- Monitor and troubleshoot data systems such as SQL databases and Databricks to maintain performance and reliability
- Implement best practices for data management and lead initiatives to improve tools, practices, and processes
- Participate in code reviews, design discussions, and contribute to technical documentation
- Provide consultation and leadership for business intelligence and analytics platforms
Requirements
- 5+ years of experience building and maintaining business-critical EDW and pipelines with a Bachelor’s Degree
- 3+ years of data architecting and engineering with a proven record of delivering complex data solutions
- 3+ years of Tier 1 SaaS integration experience (e.g., Salesforce) or equivalent
- 3+ years working with AppDev and/or BI/AI team members
- Advanced SQL skills, including complex query development, performance tuning/optimization, and stored procedure development
- Hands-on, production-level experience with Azure Databricks including Spark data processing, notebooks, and Delta Lake
- Hands-on, production-level experience with Azure Data Factory building, orchestrating, and monitoring ETL/ELT pipelines
- Hands-on experience with cloud platforms, with Azure preferred
- Proficiency in Python (or comparable programming languages listed)
- Understanding of data warehousing concepts
- Highly proficient working with custom applications and complex data platforms beyond off-the-shelf systems
- Excellent problem solving and analytical skills with strong communication and interpersonal skills
- Ability to manage multiple priorities and projects in or outside of a team
- Demonstrated experience delivering data processing reliability
- Proficiency working with business intelligence and analytical platforms
Technologies
- Databricks
- Azure Data Factory
- SQL Databases
- SQL
- Azure Databricks
- Spark
- Notebooks
- Delta Lake
- Azure
- ETL/ELT
- Salesforce
- Python
Benefits
- Medical / dental / vision / prescription coverage
- Employee wellness resources
- Savings plans (401k and ESPP)
- Paid time off
- Paid parental leave benefits
- Disability benefits
Location
- Located in the RTP, NC office of United Therapeutics
- Hybrid role requiring at least three days per week in the office
- In-office requirements could increase based on business needs
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