Data and Analytics Engineer Intern

Job Summary: The Data and Analytics Engineer Intern will assist in designing, building, and testing data platforms and analytics solutions, including preparing trusted data for AI-enabled applications, to generate actionable insights for customers. ## What You Can Expect to Learn - The challenges modern businesses are facing with data and how to address them with leading-edge technology solutions. - How to break down complex data problems and solve them by designing simplified, achievable solutions. - How organizations can leverage data to gain a competitive advantage by extracting patterns from large datasets. - How to build and test data pipelines that prepare structured and unstructured data for analytics and AI use cases. - How to partner with the Data & Analytics Team to determine appropriate approaches to data ingestion, structure, storage, and quality, then help implement and validate these solutions. - How to contribute ideas on making customers’ data more valuable and work with Trace3’s Engineering Team to implement solutions. - How data quality, metadata, and governance support reliable analytics and AI-enabled applications. - How to use AI-assisted development tools to support SQL, Python, testing, and documentation while validating outputs and protecting customer data. ## Eligibility and Preferred Skills - Enrollment in the junior or senior year of an undergraduate program or a master’s program at an accredited college or university. - Applicants should be pursuing a field of study applicable to the Data & Analytics internship. - Cumulative GPA of 3.0 or better. - Academic or professional/internship experience working in a professional setting is a plus. - Foundational knowledge of SQL or Python, data transformation, data modeling, or data visualization through coursework, personal projects, or prior experience is a plus. - Exposure to cloud data platforms, notebooks, Git-based version control, or APIs is a plus. - Interest in AI-enabled analytics and familiarity with data quality, metadata, privacy, and responsible use of AI tools. - Ability to work independently on assigned tasks and accept direction on given assignments. - Self-motivated, customer-minded, and eager to help people. - Enthusiasm for technical problem solving, attention to detail, and strong communication skills. - Ability to learn and research in a dynamic and engaging environment. - Availability to work 40 hours per week throughout the internship. ## Benefits and Perks - Comprehensive medical, dental, and vision plans. - 401(k) retirement plan with employer match. - 529 College Savings Plan. - Health Savings Account. - Life insurance and long-term disability. - Competitive compensation. - Training and development programs. - Major offices stocked with snacks and beverages. - Collaborative culture. - Work-life balance and generous paid time off. ## Equal Opportunity Trace3 is committed to fostering an inclusive workplace and bases employment decisions on individual qualifications, merit, and business requirements. The company does not discriminate on the basis of protected characteristics under applicable law.