Staff Software Engineer (Data Products)

About the role

Join Omada Health as a Staff Software Engineer, Data Engineering. In this role, you will lead the design and development of the production data platform that powers machine learning across the organization. You will collaborate with Data Scientists, Applied AI Engineers, Product Engineers, and fellow Data Engineers to create scalable data products and feature pipelines. Your responsibilities will include designing and building reusable feature datasets, establishing self-service foundations for dataset creation, and optimizing large-scale distributed processing. This is a remote-first position with flexible vacation, wellness days, parental leave, and other benefits. Key missions: Concevoir, construire et maintenir des ensembles de données de fonctionnalités réutilisables qui soutiennent les cas d'utilisation de l'apprentissage automatique, y compris la personnalisation, l'engagement, la prédiction des risques, la modélisation de l'attrition, les systèmes de recommandation et l'expérimentation.. Collaborer avec les scientifiques des données pour traduire les exigences de modélisation en pipelines de fonctionnalités prêts pour la production, en soutenant l'ensemble du cycle de vie du modèle, de l'exploration au déploiement.. Diriger les discussions sur l'architecture et la conception des systèmes de données ML à grande échelle, en favorisant l'adoption de modèles réutilisables et de capacités de plateforme à travers l'ingénierie des données. Profile: - Familiarity with NoSQL Databases (document & graph databases Nepture, Neo4j etc.) - Experience designing dimensional models, event models, and feature datasets - 8+ years building large-scale production data platforms and distributed data pipelines - Skilled at balancing business priorities with long-term technical investments - Strong experience working with cloud-native data platforms such as AWS - Comfortable influencing senior executives and cross-functional partners - Experience designing reusable datasets that power machine learning, experimentation, or advanced analytics - Experience with Apache Spark or similar distributed compute frameworks - Able to communicate complex technical concepts to both technical and non-technical audiences - Passionate about building trusted data platforms that enable the business - Communication Skills: An exceptional people leader who develops engineers into future technical leaders - Experience supporting personalization, recommendation, ranking, or predictive modeling systems - Experience with Lakehouse Architecture such as Databricks, Iceberg is a strong plus - Demonstrated experience partnering closely with Data Scientists to productionize feature engineering workflows - Understanding of software engineering best practices, distributed systems, and cloud-native architectures - Experience building production data systems using Databricks, Iceberg, Spark, Redshift, Snowflake, or similar technologies - Experience designing data platforms for experimentation - Experience implementing testing, CI/CD, observability, and production monitoring for data pipelines - Strong programming skills in Python, Java, or Scala - Experience leading cross-team technical initiatives and influencing engineering direction - Expert SQL with strong data modeling skills - Experience with Airflow or similar orchestration platforms - Understanding of Feature Stores and ML data lifecycle concepts - Experience with streaming technologies such as Kafka, Flink, or Spark Structured Streaming - Education: Bachelor’s degree in Computer Science or a similar discipline preferred - Experience developing reliable batch and streaming data pipelines - Experience working with healthcare, behavioral, or other large-scale event data is a plus - Familiarity with model training pipelines and MLOps workflows - Experience with Data/AI Governance - Healthcare industry experience is a plus