Omada Health

6 days ago

Senior Software Engineer, Data & AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Design, build, and operate a scalable Data & AI platform that powers analytics, data science, and GenAI-driven workflows. Develop reusable frameworks, templates, and services to standardize data pipelines and data products. Partner with Analytics, Applied-AI, and data engineering teams to support business and clinical decision-making, while integrating modern data/AI technologies with strong reliability, governance, observability, and secure data handling.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and GenAI use cases with data quality, lineage, observability, security, and governance.
•Create reusable abstractions, templates, services, and workflows to standardize how teams build and manage data pipelines and data products.
•Partner with Analytics, Applied-AI, data engineering, and application teams to deliver platform capabilities supporting business and clinical decision-making.
•Evaluate and integrate modern data and AI technologies focused on scalability, reliability, developer experience, and cost efficiency.
•Use Generative AI to improve data enablement, documentation, discovery, workflow automation, and platform usability while applying software engineering best practices (clean code, automated testing, CI/CD, IaC, monitoring, secure data handling).

Pay and Benefits

Salary: USD 179,400 - 224,300 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kRemote WorkPaid LeaveParental Leave

Key Requirements

•5+ years of professional software or data engineering experience building scalable data platforms, services, pipelines, or analytics infrastructure.
•Hands-on experience with modern data architectures (data lakes/lakehouses/warehouses, analytical datastores, and batch or real-time processing).
•Strong programming skills in Python and SQL for production-grade data systems.
•Working knowledge of distributed computing and cloud-native technologies such as Spark and Kubernetes.
•Experience with Infrastructure as Code using Terraform (or similar) and with data engineering best practices (quality, lineage, governance, reliability, and observability).

Experience:HealthcareFintechData engineering

Skills:Problem-solvingCommunicationCollaborationSelf-directed

Languages:English

Tech Stack:PythonSQLSparkKubernetesTerraformPulumiCloudFormationCDKGenerative AIData lakesLakehousesWarehousesAnalytics datastoresBatch processingReal-time processingCI/CDInfrastructure-as-codeMonitoringDatabricksDelta Lake

Company Brief

Omada Health

Provides digital care programs for chronic conditions like diabetes, hypertension, and behavioral health, combining coaching, connected devices, and data-driven interventions to improve health outcomes and reduce costs for employers and health plans.

Industry: Digital Therapeutics

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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Omada Health

6 days ago

Senior Software Engineer, Data & AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and GenAI use cases with data quality, lineage, observability, security, and governance.
•Create reusable abstractions, templates, services, and workflows to standardize how teams build and manage data pipelines and data products.
•Partner with Analytics, Applied-AI, data engineering, and application teams to deliver platform capabilities supporting business and clinical decision-making.
•Evaluate and integrate modern data and AI technologies focused on scalability, reliability, developer experience, and cost efficiency.
•Use Generative AI to improve data enablement, documentation, discovery, workflow automation, and platform usability while applying software engineering best practices (clean code, automated testing, CI/CD, IaC, monitoring, secure data handling).

Pay and Benefits

Salary: USD 179,400 - 224,300 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kRemote WorkPaid LeaveParental Leave

Key Requirements

•5+ years of professional software or data engineering experience building scalable data platforms, services, pipelines, or analytics infrastructure.
•Hands-on experience with modern data architectures (data lakes/lakehouses/warehouses, analytical datastores, and batch or real-time processing).
•Strong programming skills in Python and SQL for production-grade data systems.
•Working knowledge of distributed computing and cloud-native technologies such as Spark and Kubernetes.
•Experience with Infrastructure as Code using Terraform (or similar) and with data engineering best practices (quality, lineage, governance, reliability, and observability).

Experience:HealthcareFintechData engineering

Skills:Problem-solvingCommunicationCollaborationSelf-directed

Languages:English

Company Brief

Omada Health

Industry: Digital Therapeutics

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn