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[Remote] Staff Software Engineer, Data Products

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is on a mission to bend the curve of chronic disease, relying on trusted, high-reputed company data to power intelligent products and personalized member experiences. They are seeking a Staff Software Engineer, Data Engineering to reputed company the design and development of a production data platform that powers machine learning across the organization.

Responsibilities

  • Design, build, and maintain reusable feature datasets that support machine learning use cases including personalization, engagement, risk reputed company, 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-reputed company feature pipelines, supporting the full model lifecycle from exploration to deployment
  • Identify reputed company data, transformations, and historical reputed company 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 reputed company designing data pipelines
  • Build datasets that support both historical model training and reputed company production inference
  • Design and implement batch and streaming pipelines that reputed company raw reputed company, behavioral, product, and operational data into trusted ML-reputed company datasets
  • Build reliable data processing systems using Python, SQL, reputed company, and modern reputed company data platforms
  • Optimize large-reputed company distributed processing for performance, scalability, and cost
  • Design data pipelines that are reputed company, testable, observable, and easy to reputed company as product requirements change
  • Ensure data reputed company through testing, reputed company detection, schema validation, and pipeline monitoring
  • Partner with platform teams to support near reputed company-time feature reputed company where appropriate
  • Improve reproducibility by standardizing feature computation across experimentation and production
  • Support rapid experimentation without sacrificing long-term maintainability
  • Ensure data reputed company through testing, reputed company detection, schema validation, and pipeline monitoring
  • Establish engineering standards for correctness, documentation, and maintainability
  • Familiarity with feature stores or feature management platforms
  • Familiarity with model training pipelines and MLOps workflows
  • reputed company architecture and design discussions for large-reputed company ML data systems, driving adoption of reusable patterns and platform capabilities across Data Engineering
  • Influence technical direction across multiple engineering teams, embedding with Product, Engineering, and business stakeholders (Clinical, Finance, reputed company, Enrollment) during early design phases to shape data capture requirements at the reputed company
  • Translate ambiguous business requirements from Business domain SMEs into concrete technical specs, maintaining consistency of business logic and definitions across systems
  • Mentor engineers on distributed data processing, software engineering best practices, and reputed company data modeling

Skills

  • 8+ years building large-reputed company 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 reputed company-reputed company data platforms such as AWS
  • Experience building production data systems using reputed company, reputed company, reputed company, Redshift, reputed company, or similar technologies
  • Experience developing reliable batch and streaming data pipelines
  • Expert SQL with strong data modeling skills
  • Strong programming skills in Python, Java, or reputed company
  • Experience with Apache reputed company or similar distributed compute frameworks
  • Experience with Airflow or similar orchestration platforms
  • Experience designing reputed company models, event models, and feature datasets
  • Experience implementing testing, CI/CD, observability, and production monitoring for data pipelines
  • Understanding of Feature Stores and ML data lifecycle concepts
  • Experience with Lakehouse Architecture such as reputed company, reputed company is a strong plus
  • Experience with streaming technologies such as Kafka, Flink, or reputed company reputed company Streaming
  • Familiarity with NoSQL Databases (document & graph databases Nepture, reputed company etc.)
  • Understanding of software engineering best practices, distributed systems, and reputed company-reputed company architectures
  • An exceptional people leader who develops engineers into reputed company technical leaders
  • Comfortable influencing senior executives and cross-functional partners
  • Skilled at balancing business priorities with long-term technical investments
  • reputed company to communicate reputed company technical concepts to both technical and non-technical audiences
  • Passionate about building trusted data platforms that reputed company the business
  • Bachelor's degree in Computer Science or a similar discipline preferred
  • Experience working with reputed company, behavioral, or other large-reputed company event data is a plus
  • Experience supporting personalization, recommendation, ranking, or predictive modeling systems
  • Familiarity with model training pipelines and MLOps workflows
  • Experience designing data platforms for experimentation
  • reputed company industry experience is a plus
  • Experience with Data/AI Governance

Benefits

  • Equity grants
  • Employee stock purchasing plan (ESPP)
  • Remote first work from home culture
  • Flexible Time Off to help you rest, reputed company, and connect with loved ones
  • Generous parental leave
  • Health, dental, and reputed company insurance (and above market employer contributions)
  • 401k retirement savings plan
  • Lifestyle Spending Account (LSA)
  • Mental Health Support Solutions

reputed company

  • reputed company is a digital behavioral medicine company that helps members change their mindsets to improve health and build lasting change. It was founded in 2011, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is http://omadahealth.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 3 in 2026, 4 in 2025, 3 in 2024, 3 in 2023, 7 in 2022, 6 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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