Role Description We are seeking a motivated, detail-oriented Data Research Intern to support ongoing research and evaluation projects on vocational education and training programs and their components, including admissions and in-course learner behaviors. This role is ideal for an advanced undergraduate student or a graduate student interested in gaining hands-on experience with data collection, analysis, literature reviews, and report writing in non-traditional educational spaces. - Projects include (but are not limited to): evaluation of a new instructor's in-course dashboard, social support service impact on learner success, and exploration of learner admission trends. - Review literature related to workforce development programs or vocational education training programs. - Assist with qualitative and quantitative data collection (e.g., surveys, interviews, focus groups). - Clean, code, and analyze datasets using Excel, R, or similar software. - Support the preparation of reports, presentations, and other dissemination materials. - Maintain accurate records of research activities. - Attend project meetings and contribute to discussions and planning. - Perform administrative tasks related to research as needed. Qualifications - Current 3rd or 4th year undergraduate or graduate student in a relevant field (e.g., social sciences, education, psychology). - Strong organizational and time-management skills. - Excellent written and verbal communication. - Has completed an introductory course in research methods. - Proficiency with Google Office products (Google Sheets, Google Docs, etc.) and Microsoft Excel. - Experience with literature databases (e.g., JSTOR, PubMed, Google Scholar). - Ability to work independently and as part of a team. - Attention to detail and a commitment to producing high-quality work. Requirements - Experience with statistical software such as R is a plus. - Interest in adult education, education policy, or workforce development. Benefits - Over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time. - Comprehensive medical coverage with multiple plans through Cigna or Kaiser Permanente. - Dental and vision insurance options available. - 401(k) plan with a current 100% employer match on contributions up to 6%. - Free, confidential Employee Assistance Program (EAP) access. - Up to 6 weeks of 100% paid parental leave. - Access to employer-paid life and AD&D Insurance, short-term disability coverage, and flexible spending accounts. - Voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance.

• Design and implement scalable, secure, and cost-effective cloud-based data solutions • Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes • Ensure data quality and validation processes to maintain data accuracy and integrity • Ensure efficient data storage and retrieval for optimal performance • Collaborate closely with data teams, product owners, and other stakeholders • Create & lead a team of data engineers to ensure timely deliverables fulfilling all data engineering guidelines & standards

• Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions • Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte. • Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines • Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows • Build frameworks and internal self-service tooling that helps the data team deliver value faster

Role Description Buscamos un Ingeniero de Datos con amplia experiencia en el ciclo completo de desarrollo de soluciones de información, incluyendo: - Análisis - Diseño - Desarrollo - Certificación - Despliegue - Mantenimiento El candidato ideal debe demostrar sólidos conocimientos en optimización de bases de datos y un enfoque proactivo para superar limitaciones técnicas o de procesos, asegurando soluciones robustas, eficientes y alineadas con las mejores prácticas de desarrollo. Se valorará la capacidad de liderar y colaborar con equipos multidisciplinarios para acelerar el cumplimiento de objetivos. Es una posición remota en LATAM, en donde serás asignado/a a uno de nuestros clientes más importantes en el sector financiero/bancario de Latinoamérica. Trabajarás en un entorno ágil, con un equipo increíble en la implementación de productos de software de clase mundial. Qualifications - Bases de datos relacionales y NoSQL - Diseño de Datawarehouse, Datamarts, Datalakes y Lakehouse - Procesamiento distribuido con Hadoop, Spark y arquitecturas batch/streaming - Desarrollo en Python, Scala o Java, aplicando principios de Clean Code - Construcción de pipelines con herramientas ETL (Azure Data Factory, AWS Glue, SSIS) - Estrategias de DataOps/MLOps y despliegue CI/CD - Deseable: Certificaciones en AWS, Azure, o Big Data, y experiencia en arquitecturas modernas como Data Mesh o Data Fabric Requirements - Diseñar y desarrollar soluciones de datos alineadas con la visión de Arquitectura de Datos - Crear y optimizar ETLs, ELTs y APIs para manejo eficiente de datos - Implementar estrategias de testing para validar calidad funcional y no funcional - Proponer mejoras continuas en procesos y productos de datos - Resolver incidencias técnicas y documentar soluciones conforme a estándares - Mentorizar y apoyar el onboarding de nuevos integrantes del equipo Tools and Technologies - Apache Spark, Kafka, Flink, Hadoop, HDFS - Servicios Cloud: AWS, Azure, GCP - Lenguajes: Python, Scala, Java Benefits - Un contrato estable a largo plazo - Entrenamiento contínuo - Seguro de Salud Privado - Trabajarás con algunos de los ingenieros de software más talentosos de América Latina y los EEUU, haciendo un trabajo desafiante y software de clase mundial