Junior Data Engineer (Remote - US)

Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we’ve harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers.

Energy Solutions (ES) is currently seeking a full-time Junior Data Engineer I.  The Junior Data Engineer role is part of the Information Systems team and will work on critical projects such as IRIS and the new ERP system. The IRIS 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.    Energy Solutions offers a remote-friendly work environment for staff throughout the United States. We also have offices in California, Oregon, Illinois, and Massachusetts for those who wish to work from one of our offices.
    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 various data projects
• Design and implement scalable data pipelines, ETL processes, and data integration solutions for the IRIS 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 (i.e: 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 and 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

 

Compensation to commensurate with experience with the pay band of  $90k - $110k/Annually 

 

Compensation is commensurate with experience and includes a generous retirement package. Energy Solutions provides an excellent benefits package including medical, dental and vision insurance, other pre-tax contribution plans and an Employee Stock Ownership Plan (ESOP).

Equal Opportunity Employer

Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment of any type. We afford equal employment opportunities to employees and applicants without regard to race,