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USAFacts · 2 months ago

Data & AI Engineer Intern

Bellevue, WA

Internship

Onsite

Intern

$30/hr - $30/hr

USAFacts is a nonpartisan organization dedicated to making government data accessible and understandable. As a Data Engineering Intern, you will transform raw government data into insights, develop data pipelines, and contribute to AI initiatives while collaborating with experienced engineers and product managers.

FinanceGovernmentInformation Services

Responsibilities

In consultation with other engineers, research, design, implement, and test engineering solutions that directly support USAFacts’ mission

Collaborate with engineers and product managers to deliver high-quality data products that meet user needs and expectations

Develop and scale data pipelines that collect, clean, and transform large, complex government datasets into reliable, accessible formats

Experiment with data transformations at scale, learning how to optimize performance, monitor quality, and support downstream applications

Collaborate with cross-functional teams to integrate diverse external data sources and write efficient, well-documented code to support data-driven initiatives

Contribute to AI-focused experiments by preparing AI-ready datasets, prototyping with emerging tools, and helping evaluate results to ensure accuracy, fairness, and transparency

Maintain comprehensive documentation, identify performance bottlenecks, and prioritize data security best practices in our data ecosystem

Research and learn new technologies and tools to enhance your technical skills and apply them to real-world problems

Provide feedback and suggestions to improve the quality and performance of our software products and data pipelines

Share and present your work at the end of the internship, highlighting both your technical contributions and impact

Qualification

PythonSQLData pipelinesMachine learningData modelingCloud platformsCommunication skillsCollaboration skillsProblem-solving skillsGrowth mindset

Required

Currently pursuing a bachelor's degree in computer science, software engineering, Data Science, or a related field

Strong programming skills in one or more core languages (e.g., Python, SQL) and an eagerness to apply them to real-world data problems

Basic understanding of databases, data modeling, and data quality concepts

Interest in building and scaling data pipelines, with knowledge of data warehousing and ETL/ELT processes as a plus

Curiosity about AI/ML applications, with familiarity in researching, building, or experimenting with machine learning and AI pipeline tools, platforms, or algorithms

Exposure to cloud platforms such as Microsoft Azure or a willingness to learn them quickly

Strong communication, collaboration, and problem-solving skills with a growth mindset

Passion for learning new technologies, experimenting with emerging tools, and creating innovative solutions that make data more accessible and impactful