Energy Solutions (ES) is currently seeking a full-time Data Engineer I to join our Business Operations Team.  The Data Engineer role is part of the Business Operations Team and will work on critical projects such as the Corporate Operational Data Warehouse (CODW) and the new ERP system. The CODW project is one of ES's strategic goals, to build and maintain a system that enables ES to centralize, integrate, and analyze internal data from various sources. The goal is to provide a single source of truth for ES internal data and enable data-driven decision-making across the organization. This role will potentially lead the design and implementation of the infrastructure for internal reporting needs, driving operational efficiencies and helping our company's transition to operating internationally with 1000+ employees.  

Energy Solutions has a remote-friendly work environment for staff located throughout the United States. We also have offices in Oakland and Orange, California, Boston, Massachusetts, New York, and Chicago, IL, for those that wish to work from one of our offices. 

Daily responsibilities include but are not limited to: 

• Collaborate with stakeholders to understand data requirements and develop data-driven solutions that support business goals
• Analyze data sources and pipelines needed for the CODW project
• Design and implement scalable data pipelines, ETL processes, and data integration solutions for the CODW project using Python, SQL, and AWS technologies
• Develop and maintain a data warehouse and optimize data storage, processing, and retrieval
• Build schema, populate the database, and automate reporting
• Document and maintain technical specifications, ETL processes, data mappings, and dictionaries
• Support the Data Science Center of Excellence (DSCOE) with other data engineering needs

Minimum Qualifications:

• BS/BA in Computer Science, Physics/Engineering, Business or Mathematics  
• Experience in building ETL data pipelines, real-time pipelines are a plus
• Strong programming skills in Python and SQL
• Minimum 2 years of data warehouse development and strong fundamentals in dimensional data modeling
• Minimum 2 years of experience creating SQL queries and ETL design, implementation, and maintenance
• Minimum 2 years of experience developing data pipelines using Python
• Minimum 2 years of experience with AWS, AWS Redshift, AWS Data Engineering and ML Ops tools and services (ie: S3, Redshift, RDS) 
• Proven ability to aggregate, normalize, munge, analyze, and summarize value from disparate datasets
• Strong oral, written, and interpersonal communication skills
• High degree of accuracy and attention to detail
• Ability to establish priorities, work independently with minimum supervision 

Preferred Qualifications:

• Ability to manage and communicate data warehouse plans to a non-technical audience
• Expertise in cloud services architecting and designing secure AWS environments
• Experience using BI tools like Tableau and Looker
• Experienced in analyzing and troubleshooting data quality issues 
• Self-driven, highly motivated, and able to learn quickly
• Familiarity with large data sets, cloud-based development and deployment, open-source practices and frameworks, and intelligent applications is desirable
• Proven success in migrating data from legacy systems 

Salary DOE: $90k - $120k / Annually