Principal Data Engineering - Remote - CST at UnitedHealth Group
Principal Data Engineering - Remote - CST
UnitedHealth Group
United States of Americaexpert2 weeks ago
Full Timeremote1-3Years
$184,742/year
Job Description
As a Principal Data Engineer, you'll play a pivotal role in shaping data strategies that empower our team to deliver impactful solutions. Your expertise will guide the design and implementation of robust data pipelines, ensuring quality and efficiency in our data processing. This is more than just a technical role; it's an opportunity to drive innovation while working in a fully remote setup that values work-life harmony. In your day-to-day work, you'll collaborate with cross-functional teams to understand data needs and translate them into scalable solutions. You'll be working with cutting-edge technologies like AWS, Spark, and Python, leveraging your extensive experience to build and optimize data architectures. Your insights will help streamline workflows and enhance data accessibility, making a meaningful difference in how we harness data. Join a dynamic team that thrives on collaboration and professional growth. We value diverse perspectives and encourage continuous learning, offering opportunities for mentorship and skill development. Your contributions will not only elevate our projects but also foster a culture of innovation and support within the team. This role stands out because it allows you to lead transformative data initiatives in a friendly, inclusive environment. Your work will directly influence health outcomes, making a real difference in people's lives while advancing your career in data engineering.
Responsibilities
Design scalable data pipelines to efficiently process and manage large datasets. Build robust ETL processes that ensure data integrity and availability across systems. Lead cross-functional teams to implement best practices in data engineering and analytics. Architect data solutions using cloud technologies for optimal performance and scalability. Drive data governance initiatives to maintain high-quality data standards and compliance. Collaborate with data scientists to create data models that enhance analytics capabilities. Optimize existing data workflows to improve efficiency and reduce operational costs.
Key Skills
AWS
20%
Spark
20%
Python
20%
ETL
15%
Data Governance
10%
Benefits
Competitive salary with comprehensive health insurance to support your well-being. Generous paid time off policy to help you recharge and maintain a healthy work-life balance. Opportunities for professional development, including training programs and workshops. Access to mentorship programs to foster your career growth within the company. Inclusive company culture that values diversity and encourages open communication. Fun team-building activities and perks that make work enjoyable and engaging.
