Omada HealthRemote
Senior Software Engineer, Data & AI Platform
United States of America
Full Time
1 week ago
$179,000 - $224,000 USD
H1B Sponsor Likely
Key skills
PythonSQLData LakesLakehousesData WarehousesAnalytical DatastoresBatch Processing SystemsReal-time Processing SystemsDistributed ComputingSparkKubernetesInfrastructure as CodeTerraformPulumiCloudFormationCDKData QualityData LineageData GovernanceData ObservabilityGenerative AIDatabricksDelta LakeUnity CatalogDelta Live TablesMLflowModel ServingNoSQL DatastoresDocument DatabasesGraph DatabasesKey-Value StoresWide-Column StoresSearch-Oriented SystemsHealthcare Data ComplianceNoSQLAIRAGData EngineeringAnalyticsCI/CDCommunicationCollaboration
About this role
Omada Health is on a mission to bend the curve of chronic disease. They are seeking a Senior Software Engineer to help design, build, and scale modern data platform capabilities using cloud-native technologies and AI-driven solutions.
Responsibilities:
- 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
Requirements:
- 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
- Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Workflows, Delta Live Tables, MLflow, Model Serving
- Experience with NoSQL datastores, including document databases, graph databases, key-value stores, wide-column stores, or search-oriented systems
- Experience with Generative AI application patterns such as RAG, knowledge-graph, etc
- Experience working with sensitive data in regulated environments such as healthcare, privacy, fintech, or other compliance-heavy industries