California, US residents click here.
The job details are as follows: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.
- 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
Minimum 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
Location
This position will be located in the RTP, NC office of United Therapeutics. Currently this job is a hybrid role requiring at least three days per week in the office. In office requirements could increase based on business needs.
Eligible employees may participate in the Company's comprehensive benefits suite of programs, including medical / dental / vision / prescription coverage, employee wellness resources, savings plans (401k and ESPP), paid time off & paid parental leave benefits, disability benefits, and more. For additional information on Company benefits, please visit https://www.unither.com/careers/benefits-and-amenities
