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Omada Health

Senior Software Engineer, Data & AI Platform

RemoteUnited States only
Published
Role
Data Engineering
Experience
Senior
Employment
Full-time
$179.4k–$224.3k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior software/data engineer with 5+ years building scalable data platforms, services, pipelines, or analytics infrastructure. Must be strong in Python, SQL, modern data architectures, distributed/cloud-native systems, Terraform-style IaC, and practical Generative AI use cases. Remote USA only.

Core skills

PythonSQLGenerative AI

Required skills

SparkKubernetesTerraform/Pulumi/CloudFormation/AWS CDK

Optional skills

DatabricksDelta LakeUnity CatalogDatabricks WorkflowsDelta Live TablesMLflowModel ServingNoSQL datastores

What you'll do

  • Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases with strong practices around data quality, lineage, observability, security, and governance.
  • Develop reusable abstractions, templates, services, and workflows that 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 that support business and clinical decision-making.
  • Evaluate and integrate modern data and AI technologies with a focus on scalability, reliability, developer experience, and cost efficiency.
  • Apply Generative AI technologies to improve data enablement, documentation, discovery, workflow automation, and platform usability.
  • Promote software engineering best practices, including clean code, automated testing, CI/CD, infrastructure-as-code, monitoring, and secure data handling.

What they require

  • 5+ years of professional software engineering or data engineering experience building scalable data platforms, services, pipelines, or analytics infrastructure.
  • Hands-on experience with modern data architectures, including data lakes, lakehouses, warehouses, analytical datastores, and batch or real-time processing systems.
  • Strong programming skills in Python and SQL, with experience building production-grade data systems.
  • Working knowledge of distributed computing and cloud-native technologies such as Spark, Kubernetes etc.
  • Hands-on experience with Infrastructure as Code using Terraform (or a similar tool such as Pulumi, CloudFormation/CDK) to provision and manage cloud infrastructure.
  • Experience applying data engineering best practices around data quality, lineage, governance, reliability, observability, and operational excellence.
  • Practical experience using Generative AI tools or technologies to improve engineering workflows, automation, analytics, or data platform capabilities.
  • Strong problem-solving, communication, and collaboration skills, with the ability to work effectively across technical and non-technical teams.
  • Self-directed, pragmatic, and comfortable working through ambiguity in a fast-moving environment.
  • Preferred: Experience working with sensitive data in regulated environments such as healthcare, privacy, fintech, or other compliance-heavy industries.

Benefits

  • Competitive salary with generous annual cash bonus.
  • Equity grants.
  • Employee stock purchasing plan (ESPP).
  • 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.
HealthcareMid-size

Details

Apply routeGreenhouse
$179.4k–$224.3k/yr