Senior Software Engineer, Data & AI Platform

About the role

We 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

• Develop reusable frameworks, platform services, and engineering patterns that enable teams to build reliable, scalable data-products and AI-powered workflows.
• Leverage Generative AI to enhance data discovery, governance, developer productivity, and self-service access to trusted data.
• 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.

Qualifications

• 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.

Skills

• Generative AI technologies.
• Data engineering best practices.
• Software engineering best practices.

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.

Pay

Base Compensation Ranges: $179,400 - $224,300* in California, New York State and Washington State, $171,600 - $214,500* in Colorado. Other states may vary.

This role is also eligible for participation in annual cash bonus and equity grants.

*The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations.

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