Intern - Data Engineering at Itron in Washington, DC

Job description

Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us. The Distributed Intelligence Data Science team is seeking a motivated and curious 2027 Summer Data Engineering Intern to help advance innovation in the Utilities & Energy sector. Distributed Intelligence helps utilities achieve greater distribution system visibility by combining granular grid-edge data with an open enterprise application platform. In this role, you will work alongside data scientists and software engineers to support the data infrastructure, storage, pipelines, and cloud-based systems that enable data science solutions in production environments. We welcome candidates from diverse backgrounds who are excited to learn, contribute, and grow in a collaborative, customer-centric environment. Duration: 40 hours per week for 10 weeks during Summer 2027 Target Start Date: May/June 2027 End Date: August/September 2027, depending on academic schedule Location: Liberty Lake, Washington Duties & Responsibilities: Support the development, maintenance, and enhancement of data ingestion, curation, transformation, and processing pipelines used in production environments. Work with structured and unstructured data storage technologies, such as relational databases, SQL Server, AWS S3, Azure Blob Storage, or similar platforms. Assist with cloud-based data infrastructure and services in environments such as AWS or Microsoft Azure, including storage, compute, networking, and supporting resources. Clean, prepare, and validate moderate- to large-scale datasets (tens to hundreds of gigabytes) for analysis, model development, and operational use. Partner with senior team members and subject matter experts to conduct exploratory data analysis (EDA) and communicate insights clearly to technical and non-technical audiences. Contribute to research, testing, and improvement of machine learning models under the guidance of experienced data scientists. Collaborate effectively with data scientists, software engineers, product managers, and other stakeholders to deliver innovative and customer-focused solutions. Demonstrate an agile mindset by adapting to evolving priorities, incorporating feedback, and continuously improving work outputs. Uphold authentic and inclusive collaboration practices that value diverse perspectives and ideas. Support projects that help utilities improve operational efficiency, reliability, and customer outcomes. Required Skills & Experience: Currently enrolled in an accredited bachelor's degree program in a related field such as Statistics, Data Science, Applied Mathematics, Computer Science, Software Engineering, or a similar discipline. Completion of at least two years of college coursework by the internship start date. Intermediate proficiency in Python. Experience using SQL and relational databases to query, organize, or manipulate data. Knowledge of statistical methods, data analysis techniques, and data-driven problem solving. Foundational knowledge of statistics and data analysis, with exposure to machine learning through coursework, projects, research, internships, or professional experience. Strong written and verbal communication skills with the ability to share ideas clearly and respectfully. Demonstrated ability to work collaboratively in team environments while maintaining accountability for assigned work. Interest in developing innovative solutions that address customer and business needs within the Utilities & Energy industry. Preferred Skills & Experience: Previous internship, research, or professional experience related to data science, analytics, software engineering, or machine learning. Familiarity with networking and infrastructure concepts such as IP addressing, DNS, subnets, virtual networks (VNets), Linux, or cybersecurity fundamentals. Experience using AI agent-supported tools for interactive data analysis and te