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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - GTM Team - **Company:** CO-RIPPLING LLC - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $129,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Big Data, Data Systems, Python (Programming Language), Machine Learning, Operational Databases, Systems Development Life Cycle, Recommender Systems, Next.js, Software Engineering, TypeScript, Datadog, Tailwind, ReactJS, Large Language Models, Snowflake, Backend, Debezium, Kubernetes, Xgboost, Apache Kafka, Data Management, Machine Learning Operations, Front End Software Development, Data Pipelines, Docker, Databricks - **Published:** June 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=97105581153651c2 ## About the Role Do you have experience in System design for system development?, * 3+ years of professional software engineering experience (preferably in backend, data, or AI-focused roles). * Strong Python development and system design skills. * Experience building production-grade services or data-intensive applications. * Familiarity with AI/ML systems, including model training, inference APIs, or recommendation engines. * Experience working with data platforms such as Databricks, Snowflake, or Kafka. * Experience working with GTM teams (sales/marketing/RevOps/Sales Ops) * Excellent communication skills and ability to collaborate cross-functionally in a fast-paced environment. ## Description We are looking to bring on a talented GTM minded Data Engineer to join the team. The ideal candidate wants to work in an agile environment close to the business and is not tied down to one specific product, but rather is a catalyst of innovation serving various business needs and pains. You will design and implement backend services, AI integrations, and data pipelines that power Rippling's sales automation stack - including account/lead enrichment, recommendation engines, AI-powered workflows in CRM, and multi-LLM orchestration frameworks. You'll work closely with AI/ML engineers, data scientists, and sales partners to bring production-grade AI systems to life, while maintaining reliability, performance, and developer velocity., * Design and implement scalable backend systems that power AI/ML-driven recommendation, ranking, and personalization workflows. * Build and maintain multi-LLM applications using OpenAI, Claude, and custom Databricks models, integrating them into real-time workflows. * Develop and optimize data pipelines for model training, enrichment, and scoring using Databricks, Snowflake, and Kafka. * Collaborate on AI/ML pipeline development, training and deploying models such as XGBoost, classification systems, and matrix factorization-based recommenders. * Design and maintain scalable data pipelines that unify data across CRM, product systems, marketing platforms, billing systems, and internal databases * Build internal tools and APIs to support feature generation and GTM evaluation frameworks for AI models. * Partner with Growth Engineering and GTM stakeholders to translate growth initiatives into scalable AI and data systems., * Frontend (if applicable): Next.js 14, React, TypeScript, Tailwind CSS, Radix UI * Data & ML Infrastructure: Databricks, Delta Live Tables, Snowflake, Polars, PyArrow, Kafka, Debezium * AI/ML Systems: OpenAI, Claude, LangChain, XGBoost, matrix factorization, recommendation systems * Observability: Braintrust, LangSmith, DataDog, custom evaluation metrics * Infrastructure: Docker, Kubernetes, AWS, automated CI/CD pipelines ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 159: AI Pipelines, 10x Faster TypeScript, How to Interview](https://www.wearedevelopers.com/magazine/563-dev-digest-159-ai-pipelines-10x-faster-typescript-how-to-interview) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Top ChatGPT Plugins for Developers in 2023](https://www.wearedevelopers.com/magazine/259-the-top-chatgpt-plugins-for-developers-in-2023) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)