Data Engineer (Remote)

Would you like to contribute to our mission of creating smart, inspired, and useful products for faculty-academic communities? Are you passionate about leveraging Technology and Data for good? Interfolio is committed to building intelligent, inspired, and beneficial products for faculty and academic communities. By generating an engine for faculty activity, decisions, and data, Interfolio has become the pioneer in defining and dominating the sector of faculty-focused technology that encourages goal-driven collaboration around academic decision-making. Interfolio operates the first comprehensive faculty information system to support the complete lifecycle of faculty work, from job searching to review, tenure, sabbatical, committee work, research, and beyond. By providing colleges and universities with increased clarity and insights into faculty data to assist in achieving their strategic initiatives, Interfolio believes that advancing the faculty will elevate the institution. Consider joining our expanding DataOps team! This team handles the complex flow of data across teams, data centers, and organizational borders. We incorporate advanced analytics into the decision-making process across Interfolio’s customer product suite as well as our internal operations. Flexible, well-connected, and well-constructed data is the backbone of successful storytelling. As a data engineer, you will play a crucial role in helping to shape this landscape. In this cross-functional role, you will develop deep awareness of our business delivering a faculty information system that enables faculty, researcher, and institutional success. About our Team: We are responsible for the complex flow of data across teams, data centers, and organizational boundaries. We incorporate advanced analytics into decision-making processes across our customer product suite as well as internal operations. About the Role: Develop a deep understanding of our business producing a faculty information system that enables faculty, researcher, and institutional success. Responsibilities: - Building and maintaining the fundamental data pipelines and data warehouse architecture that support business intelligence dashboards and other organizational metrics. - Designing and implementing modern, scalable data objects for modeling and analysis. - Collaborating with other engineers and non-technical stakeholders across our organization. - Implementing and enforcing processes and tools that will maintain understanding, integrity, and accuracy of data. - Identifying and acting proactively on automation opportunities for process enhancement to advance business process goals. Requirements: - Have current and extensive Snowflake experience and possess an extensive SQL background. - Demonstrate relevant data engineering, data management, and cloud computing experience. - Have ETL development experience using high-level programming language and associated technologies such as Python, PHP, Ruby on Rails. We promote a healthy work-life balance across the organization. This is shown through our average length of service of 9 years. We offer appealing work prospects with various wellbeing initiatives, family leave, and tuition reimbursement. Benefits include: - Comprehensive, multi-carrier health plan benefits. - Disability insurance. - Dependent Care and Commuter Spending Accounts. - Life and Accident Insurance. - Retirement Benefits (Salary Investment Plan/Employer Stock Purchase Plan). - Modern Family Benefits, including adoption and surrogacy. About Us: As a global leader in information and analytics, we aid researchers and healthcare professionals advance science and enhance health outcomes for society. We combine high-quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. Join us, We are an equal opportunity employer committed to assisting qualified applicants regardless of race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. Please read our Candidate Privacy Policy.