Data Engineer

Join our team as a Data Engineer, where you will build and maintain data pipelines for structured and unstructured data, supporting reporting, analytics, and AI/ML use cases. You will write production-level code, develop AI tooling and automation, establish data governance frameworks, implement monitoring and data quality checks, support production data systems, and document technical implementations. Enjoy a range of benefits including equity packages, healthcare, flexible PTO, and a dog-friendly office environment.

• Construire et maintenir des pipelines de données pour des données structurées et non structurées, en soutenant les rapports, l'analyse et les cas d'utilisation de l'IA/ML.
• Écrire du code de production qui traite et valide des millions d'événements par jour, et développer des outils d'IA pour améliorer les capacités d'ingénierie des données.
• Établir et maintenir des cadres de gouvernance des données robustes pour garantir l'intégrité, la fiabilité et la sécurité des données au sein de l'organisation.

• You love dogs
• You're detail-oriented with strong problem-solving skills and can manage multiple priorities effectively
• You're comfortable collaborating with cross-functional teams to understand data requirements and deliver solutions and you have experience communicating technical concepts effectively to both technical and non-technical stakeholders
• You have 2-4 years of experience in data engineering, software engineering, or related technical field
• You have experience or strong interest in AI/ML workflows and tooling, including data preparation for machine learning models --> bring this one up
• You're familiar with data processing tools like DBT, Airflow, or similar orchestration frameworks
• You're proficient in Python with experience writing production code, and have solid SQL skills for data transformation and analysis
• You have practical experience with REST APIs and data integration patterns for ingesting data from multiple sources
• You understand ETL/ELT concepts and have built data pipelines independently with minimal guidance
• You are eager to learn new technologies, expand your skill set in a fast-paced environment, and take initiative to optimize systems