Senior Data Engineer

United Therapeutics Corporation•RTP, NC, NC

13d•Hybrid

About The Position

The Senior Data Engineer will play a crucial role in designing, developing, and maintaining our data and analytics architecture, ensuring efficient data flow and management across the organization. This role requires a deep understanding of data engineering principles, advanced programming skills, and the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions.

Requirements

5+ years of experience building and maintaining business-critical EDW and pipelines with a Bachelor’s Degree
3+ years of experience with data architecting and engineering in a role with a proven track record of delivering complex data solutions
3+ years of Tier 1 SaaS integration work (e.g. Salesforce) or equivalent
3+ years of experience working with AppDev and/or BI/AI team members
Advanced SQL Skills, including complex query writing, performance tuning/optimization, and stored procedure development
Hands-on, production-level experience with Azure Databricks, including Spark based 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 – Azure preferred
Proficiency in programming languages such as Python
Understanding of data warehousing concepts
Highly proficient and excels in working with custom applications and complicated 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 simultaneously and effectively in, or outside, of a team
Demonstrated experience delivering data processing reliability
Proficiency working with business intelligence and analytical platforms

Responsibilities

Design, build and optimize ETL/ELT pipelines using Databricks and Azure Data Factory to support enterprise data warehousing and analytics
Work with stakeholders to provide access and security controls
Support and maintain daily data processing operations, including monitoring, alerting, and issue resolution
Collaborate with analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions
Provide technical guidance and mentorship to junior data engineers and other team members, including reviewing and validating work delivered by external consultants
Monitor and troubleshoot data systems (e.g., SQL Databases, Databricks) to ensure performance and reliability
Implement best practices for data management; lead initiatives to improve practices, tools, and processes
Participate in code reviews, design discussions, and contribute to technical documentation
Provide consultation and leadership around business intelligence and analytics platforms