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Dataiku Jobs in California (NOW HIRING)

Concevoir, développer et maintenir des solutions Dataiku répondant aux besoins métiers et analytiques. * Mettre en œuvre des cas d'usage d'IA Générative (GenAI) en s'appuyant sur Dataiku LLM ...

Concevoir, developper et maintenir des solutions Dataiku repondant aux besoins metiers et analytiques. * Mettre en uvre des cas d'usage d'IA Generative (GenAI) en s'appuyant sur Dataiku LLM Mesh et ...

This role will take a forward-looking approachdriving innovation and identifying emerging opportunities for Dataiku and advanced analytics adoption across the enterprise. The individual will focus on ...

This role will take a forward-looking approachdriving innovation and identifying emerging opportunities for Dataiku and advanced analytics adoption across the enterprise. The individual will focus on ...

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work ...

MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions * Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms * AI/GenAI: LLMs, prompt engineering, RAG, semantic ...

... as Tableau, Dataiku, and SQL, including a demonstrated track record of leveraging AI and automation tools to drive efficiency in financial analysis, reporting, and modeling. * Familiarity with ...

New

... Dataiku, and SQL, including a demonstrated track record of leveraging AI and automation tools to drive efficiency in financial analysis, reporting, and modeling. Familiarity with security functions ...

Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark * Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with the ability to prioritize ...

Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark * Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with the ability to prioritize ...

... Dataiku, Camunda, BPMN 2.0, Snowflake, AWS, or similar enterprise AI, data, workflow orchestration, business process management, and automation technologies. • Experience applying AI solution ...

Sr Staff AI Architect

Carlsbad, CA · On-site +1

$143K - $185K/yr

Experience with Databricks, Dataiku or vector databases. * Knowledge of CRM/ERP integration architecture. * Background in supply chain or commercial analytics ecosystems. * Experience architecting ...

Familiarity with data science tooling such as Dataiku, Snowflake, Airflow, or Python-based analytics pipelines. Experience with full-stack web frameworks, including Node.js/Express.js, Apollo GraphQL ...

Experience with Dataiku, Camunda, BPMN 2.0, Snowflake, AWS, or similar enterprise AI, data, workflow orchestration, business process management, and automation technologies. Experience applying AI ...

Forward Deployed Engineer

Cupertino, CA · On-site

$181.10 - $272.10/hr

Familiarity with data science tooling such as Dataiku, Snowflake, Airflow, or Python‑based analytics pipelines. * Experience with full‑stack web frameworks, including Node.js/Express.js, Apollo ...

Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms. * Experience with CI/CD, Infrastructure‑as‑Code, containers, DevOps practices, or scalable cloud ...

New

Senior AI Automation Engineer

San Francisco, CA · On-site

$122K - $160K/yr

... Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms. • Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment patterns. • ...

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Dataiku information

See California salary details

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How much do dataiku jobs pay per month?

As of Aug 21, 2026, the average monthly pay for dataiku in California is $4,367.08, according to ZipRecruiter salary data. Most workers in this role earn between $3,208.33 and $4,933.33 per month, depending on experience, location, and employer.

What is a Dataiku?

A Dataiku job typically involves working with Dataiku DSS, a collaborative data science and machine learning platform used for analytics, automation, and AI development. Roles can vary from data engineers and data scientists to machine learning engineers and analytics professionals who use Dataiku to build, deploy, and manage data workflows. Responsibilities may include data preparation, model training, automation, and integrating Dataiku with other enterprise systems. Companies use Dataiku to streamline AI and analytics processes, improving decision-making and operational efficiency. Proficiency in Dataiku, Python, SQL, and machine learning concepts is often required for these roles.

What are the typical day-to-day responsibilities for someone working with the Dataiku platform?

Professionals working with the Dataiku platform spend much of their day building and maintaining data pipelines, collaborating with stakeholders to define business requirements, developing and deploying machine learning models, and ensuring data quality. They also use Dataiku DSS to automate workflows, prepare datasets, and visualize analytical results. Regular communication with data engineers, business analysts, and management is essential to align data projects with organizational goals. The role often involves troubleshooting technical challenges and staying current with platform updates and best practices.

What are the key skills and qualifications needed to thrive in the Dataiku position, and why are they important?

To excel as a Dataiku Data Scientist or Platform Specialist, you typically need a strong background in data analysis, machine learning, and programming languages such as Python or R, often supported by a degree in computer science, statistics, or a related field. Experience with the Dataiku Data Science Studio (DSS) platform, plus relevant certifications like Dataiku DSS Associate or Designer, is highly valued. Strong problem-solving skills, effective communication, and teamwork are important soft skills to succeed in this role. These abilities ensure that data solutions are effectively designed, implemented, and communicated within cross-functional teams, driving successful business outcomes.

What does Dataiku do?

Dataiku is a company that provides a data science platform enabling data analysts and scientists to build, deploy, and manage machine learning models and data workflows. It offers tools for data preparation, visualization, and collaboration, often used in environments requiring knowledge of data analytics and programming skills. The platform supports integration with various data sources and programming languages like Python and R.

What are the most commonly searched types of Dataiku jobs in California?

The most popular types of Dataiku jobs in California are:

What are popular job titles related to Dataiku jobs in California?

For Dataiku jobs in California, the most frequently searched job titles are:

What job categories do people searching Dataiku jobs in California look for?

The top searched job categories for Dataiku jobs in California are:

Infographic showing various Dataiku job openings in California as of August 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $52,405 per year, or $25.2 per hour.

Dataiku Consultant

Expleo

Los Angeles, CA • On-site

Full-time

Re-posted 2 days ago


Job description

Le Groupe EXPLEO s’appuie sur 19000 collaborateurs hautement qualifiés qui fournissent des solutions à forte valeur ajoutée dans 30 pays. Expleo vous aide à réaliser vos ambitions et à assurer, ensemble, votre avenir. Nous vous offrons un mélange unique de réflexion audacieuse et d’exécution fiable, pour accélérer l’innovation à travers chaque étape de votre chaîne de valeur.

Au-delà de rejoindre une entreprise, c’est donc une aventure humaine que nous vous proposons de VIVRE !!


Missions principales
  • Concevoir, développer et maintenir des solutions Dataiku répondant aux besoins métiers et analytiques.
  • Mettre en œuvre des cas d’usage d’IA Générative (GenAI) en s’appuyant sur Dataiku LLM Mesh et les principaux modèles de langage du marché.
  • Développer des applications basées sur les LLMs (chatbots, assistants virtuels, RAG, AI Agents).
  • Concevoir et optimiser les pipelines de données pour l’alimentation des modèles IA et des analyses métier.
  • Assurer l’intégration de Dataiku avec les différentes sources de données et systèmes d’entreprise.
  • Participer à l’industrialisation, au déploiement et au monitoring des solutions IA en environnement de production.
  • Collaborer avec les équipes Data Engineering, Data Science, IT et Métiers afin de garantir la qualité et la pertinence des solutions développées.
  • Contribuer à l’amélioration continue des bonnes pratiques Dataiku, GenAI et MLOps.
  • Accompagner les utilisateurs métiers dans l’adoption des solutions Dataiku et assurer le support technique nécessaire.
  • Participer aux phases de cadrage, d’architecture et de définition des solutions Data & AI.

 Qualifications requises
  • Diplôme d’Ingénieur ou Master (Bac+5) en Informatique, Data Science, Intelligence Artificielle ou domaine équivalent.
  • Minimum 3 à 5 ans d’expérience dans les domaines Data, Analytics ou Intelligence Artificielle.
  • Expérience significative sur Dataiku DSS, incluant le développement, le déploiement et la maintenance de projets Dataiku.
  • Connaissance des solutions d’IA Générative et des LLMs (Large Language Models).
  • Maîtrise de Python et des bibliothèques de traitement de données (Pandas, NumPy).
  • Expérience dans la mise en œuvre de solutions basées sur Dataiku LLM Mesh ou technologies similaires.
  • Bonne compréhension des architectures Data et des pipelines de données.
  • Connaissances des outils de gestion de versions et de déploiement (Git, Docker, Kubernetes) appréciées.
  • Capacité à travailler dans un environnement international et à collaborer avec des équipes pluridisciplinaires.

Essential Skills
  • Strong hands-on experience with Dataiku DSS development and administration.
  • Experience implementing and managing Dataiku LLM Mesh solutions.
  • Solid knowledge of Generative AI (GenAI) and Large Language Models (LLMs).
  • Proficiency in Python and data manipulation libraries such as Pandas and NumPy.
  • Experience designing and developing AI-powered applications, including RAG and AI Assistants.
  • Strong understanding of data integration, data preparation, and workflow automation within Dataiku.
  • Experience with version control and deployment tools (Git, Docker, Kubernetes).
  • Knowledge of Data & AI solution lifecycle management and best practices.
  • Strong analytical and problem-solving skills.
  • Good communication skills and ability to work in an international environment.