Data Engineer (Full-time)

Company Description: Pangaea Information Technologies is a technology company focused on building data-driven solutions that help organizations make informed decisions. Based in Chicago, IL, the company leverages modern data platforms, analytics tools, and engineering best practices to deliver scalable, reliable systems. Team members collaborate across disciplines to design, build, and maintain data infrastructure that supports business intelligence and operational reporting. Pangaea values problem-solving, technical excellence, and a practical approach to implementing data solutions for clients and internal stakeholders.

Role Description: This is a full-time, on-site Data Engineer role located in Chicago, IL. The Data Engineer will design, build, and maintain data pipelines and ETL processes that move and transform data from various sources into centralized data warehouses and analytics environments. Day-to-day responsibilities include developing and optimizing data models, ensuring data quality and integrity, monitoring system performance, and troubleshooting data issues. The role involves collaborating with analytics, software engineering, and business teams to understand data requirements, implement scalable solutions, and document data flows and architectures. The Data Engineer will also help evaluate new tools and technologies, contribute to best practices, and support reporting and dashboarding needs.

Qualifications: Candidates should possess strong skills in Data Engineering and building scalable data infrastructure. Candidates should possess solid experience in Data Modeling and designing structured data schemas. Candidates should possess hands-on expertise with Extract Transform Load (ETL) processes and Data Warehousing. Experience working with relational databases and modern data platforms or cloud services (e.g., AWS, Azure, or GCP) is beneficial. Familiarity with workflow orchestration and pipeline tools (e.g., Airflow, dbt, or similar) is an advantage. Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Strong problem-solving abilities, attention to detail, and the capacity to work collaboratively in an on-site team environment.