Fullstack Software Engineer

Dataiku# Fullstack Software Engineer – CoreReview the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.
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UndisclosedDepartment: Software EngineeringEmployment: Full TimeExperience: SeniorPublished: 8 Oct 2026Apply before: 8 Nov 2026Listing views: 1,031Application actions: 109Application toolkit## Make your next move.
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AI Summary## The role, at a glance.
Dataiku is hiring a full-stack software engineer to build core capabilities in its enterprise AI and data platform, Dataiku DSS. The role may align with teams spanning data preparation, AI and machine learning, data consumption, visualization, MLOps, platform engineering, or AI governance. Engineers will build scalable product features across backend services and frontend experiences using technologies such as Java, Python, Angular, React, Kubernetes, and cloud platforms. The company is open to junior, mid-level, and senior candidates with significant product-engineering experience and a strong interest in backend performance and frontend usability.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the

job description
.### Job Complexity4/5EasyHard### Pace & Pressure4/5RelaxedFast-paced### Autonomy Level4/5GuidedFull ownership### Communication Load4/5IndependentCollaborativeAI insightThis is a technically demanding product-engineering role in a complex enterprise AI platform with varied domains, large-scale data workloads, and a broad modern stack. Candidates must be able to contribute across frontend and backend systems while collaborating with research, platform, and product stakeholders.## Salary analysisEstimated compensation compared with the broader US market for similar roles.
Estimated job median (period not specified)$145,000US market range (period not specified)$105k–$190kAI insightSalary comparison is unavailable: the pay periods are unspecified or differ, or salary amounts are unavailable. Market figures are AI estimates. The employer pay period must be confirmed before comparison. Regenerate the analysis to obtain a market estimate with an explicit period.## Core skillsSkills and capabilities most closely associated with this opportunity.
Full-stack developmentJavaPythonAngularReactMachine learning platformsData engineeringCloud infrastructureKubernetesData visualizationSample interview questionsOpportunity details## About this role.
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack – empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.Why Engineering at Dataiku?Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you’ll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
Here are some useful links so you preview what we do at Dataiku: Dataiku’s Key Capabilities ; Dataiku’s Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).
Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.How you’ll make an impactAs a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:
* Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. + Add new capabilities for data integration, transformation, and visualization using LLMs + Optimize workflows for large-scale datasets and improve database support + Strengthen developer tools like Jupyter notebooks and SQL workbenches + Tech stack: Java, Python, AngularJS, Angular
* AI & Machine Learning: Collaborate