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Über
We are seeking a motivated and detail-oriented Data Engineer Intern to support the design, preparation, integration, and improvement of enterprise data assets. This role is ideal for a candidate who is currently pursuing or has completed an Associate's, Bachelor's, or Master's degree in computer science, Information Technology, Information Systems, Data Engineering, Data Analytics, Software Engineering, or a related field within the last year. The intern will work with business and technology teams to help organize data, support reporting and analytics needs, and contribute to the development of reliable data pipelines and data quality practices. This is a hands-on learning opportunity for someone who wants to build practical experience in databases, SQL, data transformation, and modern ETL/ELT processes. Position Requirements/Preferred Qualifications
Education: Currently pursuing or completed within the last 12 months an Associate's, Bachelor's, or master's degree in computer science, Information Technology, Information Systems, Data Engineering, Data Analytics, Software Engineering, or a related field Experience: Academic coursework, internship experience, training, certification, or hands-on project work related to databases, SQL, data integration, analytics, or cloud-based data platforms Working knowledge of relational databases, data structures, and data modeling fundamentals Ability to write and understand SQL queries for data extraction, transformation, validation, and analysis Exposure to ETL/ELT concepts and frameworks through coursework, labs, bootcamps, or projects Familiarity with one or more data integration or cloud data tools from Microsoft, IBM, or AWS is preferred (for example, Azure Data Factory, Microsoft Fabric, IBM DataStage, AWS Glue, or related services) Knowledge of reporting, dashboards, scripting, or data warehouse concepts is a plus Skills: Strong analytical, problem-solving, and organizational skills Strong verbal and written communication skills, with the ability to explain technical concepts. Attention to detail and commitment to data accuracy, consistency, and documentation Collaborative mindset with the ability to work effectively across technical and business teams Essential Duties: Assist in collecting, profiling, cleansing, and validating data from enterprise systems and other internal or external sources Support the development, testing, and maintenance of SQL queries, data transformations, and data integration workflows Participate in ETL/ELT activities to move and prepare data for reporting, analytics, and operational use Work with analysts, developers, and business stakeholders to understand data requirements and support scalable solutions Assist with data loading, integration, and pipeline activities using modern platforms and tools, including Microsoft, IBM, or AWS technologies where applicable Create and maintain documentation for data sources, field definitions, mappings, transformations, and process flows Support reporting, dashboarding, and basic data analysis needs by preparing trusted datasets and validating outputs Desired Qualities/Attributes: Curiosity about data, technology, and how information can improve business decisions. Detail-oriented approach with a strong focus on accuracy, completeness, and repeatable processes. Willingness to learn data engineering concepts, tools, and best practices in a fast-paced environment. Ability to work independently on assigned tasks while also collaborating effectively with mentors and teammates. Commitment to documentation, continuous improvement, and delivering reliable results. Safety Compliance: The safety of our employees takes precedence over all other initiatives and considerations. All employees are required to comply with established safety protocols as outlined in our policies, procedures, and corporate communications. All employees are responsible for complying with the most current safety practices as communicated by the Company.
Sprachkenntnisse
- English
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