Staff Software Engineer, Data Products

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $202.4k - $253k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Omada Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

💰 $192M Series E on 2022-02

Healthcare Insurance • Wellness • SaaS

Omada Health is a virtual care company focused on helping individuals achieve their health goals through personalized support and programs. The company offers comprehensive health management solutions for conditions like diabetes, hypertension, and musculoskeletal health. Omada provides one-on-one health coaching and smart devices to monitor and improve health, creating personalized care plans for its users. Its programs are designed to be accessible at no cost to participants when covered by their employer or health plan, making Omada a leader in delivering quality virtual care that is both personal and sustainable.

📋 Description

• Design, build, and maintain reusable feature datasets that support machine learning use cases including personalization, engagement, risk prediction, churn modeling, recommendation systems, and experimentation. • Establish self-service foundations that streamline and democratize dataset creation across the data organization. • Partner with Data Scientists to translate modeling requirements into production-ready feature pipelines, supporting the full model lifecycle from exploration to deployment. • Identify source data, transformations, and historical windows needed for feature engineering. Help define and build shared, reusable feature definitions across models rather than one-off datasets. • Balance features freshness, correctness, latency, and computational efficiency when designing data pipelines. • Build datasets that support both historical model training and future production inference. • Design and implement batch and streaming pipelines that transform raw healthcare, behavioral, product, and operational data into trusted ML-ready datasets. • Build reliable data processing systems using Python, SQL, Spark, and modern cloud data platforms. • Optimize large-scale distributed processing for performance, scalability, and cost. • Design data pipelines that are modular, testable, observable, and easy to evolve as product requirements change. • Ensure data quality through testing, anomaly detection, schema validation, and pipeline monitoring. • Partner with platform teams to support near real-time feature generation where appropriate. • Improve reproducibility by standardizing feature computation across experimentation and production. • Support rapid experimentation without sacrificing long-term maintainability. • Establish engineering standards for correctness, documentation, and maintainability. • Familiarity with feature stores or feature management platforms. • Familiarity with model training pipelines and MLOps workflows.

🎯 Requirements

• 8+ years building large-scale production data platforms and distributed data pipelines. • Experience designing reusable datasets that power machine learning, experimentation, or advanced analytics. • Demonstrated experience partnering closely with Data Scientists to productionize feature engineering workflows. • Experience leading cross-team technical initiatives and influencing engineering direction. • Strong experience working with cloud-native data platforms such as AWS. • Experience building production data systems using Databricks, Iceberg, Spark, Redshift, Snowflake, or similar technologies. • Experience developing reliable batch and streaming data pipelines. • Experience working with healthcare, behavioral, or other large-scale event data is a plus.

🏖️ Benefits

• Competitive salary with generous annual cash bonus • Equity grants • Remote first work from home culture • Flexible Time Off to help you rest, recharge, and connect with loved ones • Generous parental leave • Health, dental, and vision insurance (and above market employer contributions) • 401k retirement savings plan • Lifestyle Spending Account (LSA) • Mental Health Support Solutions • ...and more!