Data Engineer

Terrapower - Bellevue, WA

Full-time - Mid Level

Bellevue, WA

Professional, Scientific, and Technical Services

About the position

TerraPower is seeking a motivated and detail-oriented Data Engineer to join its growing IT team. This role focuses on enterprise data management, business reporting, and AI data modeling, playing a crucial part in defining and implementing data pipelines. The successful candidate will work collaboratively within a diverse team to understand business needs, identify data sources, and apply best practices in data management while maintaining accurate documentation.

Responsibilities

• Identify and document the business relevance and ownership of data sources
• Build tools to provide visibility into data to support business processes
• Support the development, delivery, and training of BI dashboards and reporting tools to meet compliance objectives
• Work directly with business partners to discuss reporting needs, build requirements, identify sources of data, define security needs, and agree on definitions of completeness.

Requirements

• 5+ years of experience in data engineering, with demonstrated capability in distributed computing technologies, ETL, query performance optimization, and modern SDLC methods
• SQL proficiency and mastery of at least one general-purpose programming language
• Passion for building and improving data pipelines that are performant, easy to maintain, and consistently deliver high-quality data products
• Proficiency in various data modeling techniques, such as Entity Relational (ER), Hierarchical, Dimensional or NoSQL modeling
• Experience working in a cloud infrastructure environment and using various data warehouse and big data systems
• 3+ years experience with orchestration tools such as Azure Data Factory, Azure Synapse, AWS Step function, Airflow, Control-m, etc.
• Some exposure/experience with data visualization tools such as Power BI, Tableau, QuickSight, QlickView, IBM Cognos analytics or Business Objects
• Experience owning problems end-to-end and a willingness to acquire necessary knowledge to complete tasks
• Ability to navigate an environment with loosely defined requirements or competing priorities.

Nice-to-haves

• Experience with Azure Data Factory/Synapse
• Experience with Power BI for data visualization

Benefits

• Competitive Compensation
• Salary, eligible to participate in discretionary short-term incentive payments
• Comprehensive Medical and Wellness Benefits including Medical, Vision, Dental, Life, and Disability
• Gender Affirmation Benefits
• Parental Leave
• 401k Plan
• Generous Paid Time Off (PTO) - 21 days annually
• Generous Holiday Schedule - 10 paid holidays
• Relocation Assistance
• Professional and Educational Support Opportunities
• Flexible Work Schedule