Associate Data Engineer (Early Career Talent)

Associate Data Engineer (Early Career Talent) Developer III - Software Engineering You Are We are looking for high-potential early-career engineers who are strong in fundamentals and comfortable with AI-assisted development. This role focuses on building scalable data pipelines while learning and growing in a fast-paced, cloud-native environment. We are specifically targeting candidates from top-tier universities or those with internship/work experience at leading technology companies, with strong problem-solving and learning ability. The opportunity Build and support ETL/ELT pipelines using Databricks, dbt, Snowflake, and Azure Write efficient SQL and Python for data processing and transformations Leverage AI-assisted development tools (Claude, Copilot) for coding and debugging Ensure data quality, reliability, and pipeline monitoring Collaborate with reporting and engineering teams to meet data needs Participate in Agile/Scrum ceremonies and deliver sprint commitments Support production operations and incident triage This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. What you need Graduation year: 2024, 2025 or 2026

GPA: ≥3.5

Bachelor's degree in Computer Science, Engineering or related field 0-2 years of experience (including internships or projects) Strong fundamentals in SQL and Python Familiarity with cloud platforms (Azure preferred) and data concepts Experience with Git/version control and collaborative development Exposure to AI coding tools (Claude, GitHub Copilot, etc.) Strong communication skills and ability to learn quickly Preferred Profile (Key Differentiator) Graduates from top-tier universities (MIT, Stanford, CMU, UC Berkeley or equivalent) Experience/internship at leading tech companies (Amazon, Google, Meta etc.) Demonstrated strong problem-solving ability and learning agility, even with limited hands‑on experience Nice to Have Exposure to Databricks, dbt, Snowflake (projects/coursework acceptable) Experience with Azure Data Factory / Data Lake Hands‑on project experience using AI-assisted development Visa Sponsorship Statement Visa sponsorship is not available for this role. Compensation Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. The range is $60 to $70 per hour. Role Location Frisco, TX / Seattle, WA Benefits Full‑time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro‑rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company‑paid Employee‑Only benefits: basic life insurance, accidental death and disability insurance, and short‑ and long‑term disability benefits. Regular employees may purchase additional voluntary short‑term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child‑care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico. Part‑time employees receive 6 days of paid sick leave each year (pro‑rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. Full‑time temporary employees receive 6 days of paid sick leave each year (pro‑rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance. Part‑time temporary employees receive 6 days of paid sick leave each year (pro‑rated for new hires throughout the year). All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and "fair chance" ordinances. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. #J-18808-Ljbffr UST