Data Engineering Intern at Propio

Overland Park, Kansas, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Report Creation, Dashboard Creation, Data Visualization, SQL, Python, Tableau, Power BI, Data Cleaning, Data Integrity, Exploratory Data Analysis, Predictive Models, Statistical Analyses, Communication Skills, Attention To Detail, Organizational Skills

Industry

Translation and Localization

Description

Description Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to the best technology, support, and experience. We are driven by our passion for innovation, growth, and connecting people. If you believe in the transformative power of technology-driven solutions and meaningful communication, Propio could be the ideal place for you. Propio’s Summer Internship Program is an eight-week experience that offers students the opportunity to engage in real-world client work while receiving mentorship from industry-leading professionals. As an intern, you’ll make meaningful contributions from day one because we believe you are the future of our business. Program Benefits: Onsite experience that promotes hands-on learning, team engagement, and a deeper understanding of our company culture Competitive hourly pay One-on-one mentorship with experienced professionals Ongoing learning and development Networking opportunities and social events with peers and professionals Potential for full-time employment upon graduation Position Overview We are seeking a motivated and ambitious Data Engineering Intern to join our team. This internship provides hands-on experience in various data analysis functions including report and dashboard creation, data analyzing, and results reporting. In this role, you will gain exposure to the full suite of business analytics and data reporting and contribute to meaningful projects in a fast-paced environment. Responsibilities: Assist in collecting, cleaning, and organizing raw data from multiple sources for analysis Perform exploratory data analysis to identify trends, patterns, and outliers Support the creation of dashboards, reports, and data visualizations to communicate insights Collaborate with internal teams to understand data needs and deliver solutions Help maintain data integrity and accuracy across systems and tools Use tools such as Excel, SQL, Python, Tableau, and Power BI to support analytics projects Contribute to the development of predictive models and statistical analyses under supervision Document processes, methodologies, and findings to support future reference and repeatability Stay current on data engineering trends, tools, and best practices to support continuous improvement Requirements Qualifications: Currently pursuing a degree in Data Science, Statistics, Management Information Systems or a related field Minimum of a 3.0 GPA strongly preferred Active involvement in campus, community, or other volunteer activities and/or organizations preferred Strong written and verbal communication skills High level of confidentiality and professionalism Excellent attention to detail and organizational skills Basic knowledge of Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) Interest in learning and contributing to the Data Engineering team and its functions Prior internship or office experience a plus, but not required Candidates must be legally authorized to work in the United States on a full-time basis without requiring future sponsorship for employment visa status What You’ll Gain Exposure to real-world data analysis practices and systems Experience working with cross-functional teams Mentorship and support from industry leading data analysis professionals Opportunities to make meaningful contributions to organizational projects A stronger understanding of career paths within data and business analytics

Responsibilities

Assist in collecting, cleaning, and organizing raw data for analysis while supporting the creation of dashboards and reports. Collaborate with internal teams to understand data needs and maintain data integrity across systems.