ID.me

Analytics Engineer Intern

USA internshipsAI/ML/DataPosted 4 days ago

Location: Mountain View, CA
Type: USA internships

About this role

From ID.me’s careers page.

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 175 million users experience streamlined login and identity verification with ID.me at 22 federal agencies, 50 state government agencies, and more than 100 healthcare organizations. Over 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/.

ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.

At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here.

Role Overview

ID.me is looking for an Analytics Engineer Intern to help us put AI to work across our data organization. You are a curious builder who loves turning data into answers, and you’re ready to use AI to put those answers in the hands of the teams who rely on them every day.

As an intern, you'll build conversational analytics chatbots, automate data pipelines, and create detection agents that help us get more from our data and improve the member experience.

Location: Mountain View, California- onsite in office five days a week

What You'll Work On

As an intern, you will own a focused set of AI enablement projects, working alongside analytics engineers, data analysts, and data engineers.

Conversational analytics chatbots: Build chatbots that let teams ask questions of our data in plain language and get trusted answers.
Data pipeline automation: Use AI-assisted tooling to automate and streamline parts of our data pipelines.
Detection agents: Design agents that monitor data and flag anomalies, quality issues, and unusual patterns.
Data architecture and domain-driven design: Explore how AI can improve our data models, documentation, and overall architecture.

Responsibilities

Build and iterate on chatbot prototypes that support conversational analytics on top of Snowflake and dbt models
Automate data pipeline tasks such as testing, documentation, and monitoring using AI tools
Develop detection agents that surface data quality problems and anomalies
Apply domain-driven design principles to help improve data models, metric definitions, and metadata
Partner with analysts, engineers, and data scientists to understand needs and gather feedback
Document your work and present results and learnings to the team at the end of the internship

Basic Qualifications

College junior with an expected graduation year of 2028, currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics, Statistics, Math, or a related quantitative field. Students with a software engineering background who want to build a career in data are encouraged to apply.
Interest in AI and large language models, including prompting and building simple applications on top of them
Basic understanding of data modeling and data warehousing concepts

What You'll Gain

Hands-on experience building AI-powered analytics tools on a modern data stack
Mentorship from experienced analytics engineers
A real project with visible impact on how ID.me uses its data
Exposure to data architecture, domain-driven design, and data governance in practice
A portfolio-ready project to present to the team at the end of the internship

Our Culture

At ID.me, we believe that an in-office culture fosters professional growth and development, mentorship, collaboration, and accelerated innovation. This position will be in-office based at our Mountain View, CA location. Working in an office together allows our culture to thrive and our team members to establish real connections with their coworkers and the opportunity for lifelong friendships. Our work is critical to protecting online identity and we're confident that working together is how we'll change the world.

ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.

Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.

ID.me participates in E-Verify.

Apply nowOpens ID.me’s application page