Junior Data Engineer

Position Purpose

The Junior Data Engineer plays a critical role within Dartmouth College Athletics and Recreation, supporting the department’s vision to be a leader in sports analytics within the Ivy League and at the collegiate athletics. This is a newly created position that sits within the Dartmouth Peak Performance (DP2) team – an interdisciplinary group dedicated to helping varsity student-athletes maximize their potential academically, athletically, and in their lives after Dartmouth. The Junior Data Engineer is responsible for designing, building, and managing a modern data ecosystem that elevates the health, performance, and competitive success of Dartmouth’s varsity athletics programs.

Required Qualifications

• Bachelor’s degree in computer science, software engineering, data engineering, or a related field.
• Minimum of two (2) years of experience in data engineering or a closely related role.
• Demonstrated experience designing data pipelines and integrations.
• Experience working with cloud-based data environments and modern data architectures.
• Proficiency in Python and/or R.
• Experience with database management, ELT / ETL frameworks, and API-based integrations.
• Familiarity with AWS, Snowflake, or other cloud data platforms.
• Strong ability to translate technical concepts for non-technical stakeholders and collaborate with cross-functional teams.

Preferred Qualifications

• Graduate degree in engineering, data science, or related field.
• Demonstrated interest in/passion for sports analytics and working within collegiate athletics.

Key Accountabilities

Dartmouth Peak Performance Integrated Support Team (70%)

• Design, build, and maintain the technical foundation of the DP2 data ecosystem.
• Lead the documentation, deployment, and maintenance of production data systems and internal tools.
• Ensure optimal database performance, including efficient data storage, retrieval, and communication for all users.
• Develop and manage scalable, cloud-based data pipelines, models, and architectures to support analytics and reporting.
• Import and integrate data from diverse internal and external sources using ETL / ELT frameworks and API-driven integrations.
• Leverage cloud platforms (AWS, Snowflake) to improve data accessibility, scalability, storage efficiency, and long-term sustainability.

Varsity Sports Analytics (30%)

• Deliver ad hoc and automated reporting to inform decision-making related to athlete health and performance.
• Collaborate with coaches and sports performance staff to ensure data is accessible, interpretable, and relevant to their needs.
• Support broader analytics initiatives within the Dartmouth Peak Performance (DP2) team and Dartmouth Athletics and Recreation.