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Dataiku Jobs (NOW HIRING)

Dir I- Data Eng

Falls Church, VA · On-site +1

$122K - $146K/yr

Ensure robust integration between Snowflake, Dataiku, Power BI, Semarchy, Collibra, and adjacent enterprise systems. * Oversee reliability engineering, monitoring, observability, incident response ...

... DataIku/Hadoop platform. The position requires working closely with the WM Strategists and Modeling Group, who are responsible for the development and implementation of statistical based models ...

Responsibilities : • It is an intermediate level role responsible for assisting Blue data management, supporting Dataiku, Driverless AI, Juypter Notebook ,DataRobot. GEN AI and LLMs. • We need ...

Senior Python Developer

Holmes, NY · On-site

$119K - $161K/yr

Experience working with Dataiku is preferred, but willing to consider strong Python/PySpark candidates with no Dataiku experience and train them * Hands-on experience manipulating data and developing ...

Senior Python Developer

Holmes, NY · On-site

$119K - $161K/yr

Experience working with Dataiku is preferred, but willing to consider strong Python/PySpark candidates with no Dataiku experience and train them * Hands-on experience manipulating data and developing ...

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 ...

Associate Director, Senior AI Engineer

Princeton, NJ · Hybrid

$109K - $150K/yr

Handson with Dataiku for workflow orchestration, automation scenarios, model integration, or pluginbased extensions. * Deep familiarity with Agentic AI frameworks - LangChain, LangGraph, AutoGen ...

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How much do dataiku jobs pay per month?

As of Sep 2, 2026, the average monthly pay for dataiku in the United States is $4,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $3,250.00 and $5,000.00 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.
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What cities are hiring for Dataiku jobs?

Cities with the most Dataiku job openings:

What are the most commonly searched types of Dataiku jobs?

The most popular types of Dataiku jobs are:

What states have the most Dataiku jobs?

States with the most job openings for Dataiku jobs include:

Infographic showing various Dataiku job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 79% Physical, 9% Hybrid, and 12% Remote job distribution, with an average salary of $53,100 per year, or $25.5 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted yesterday


Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted - -hr
REQUIREMENT_CITY - Stamford, CT/Remote
REQUIREMENT_ID-10793767
Role Name - Dataiku Developer
ROLE_DESCRIPTION -
Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
Ensure solutions align with enterprise data governance, security, and compliance standards.
Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
Document architectural decisions and promote knowledge sharing across the team
Qualifications
5+ years in data architecture, engineering, or related roles.
Proven experience as a Data Architect in enterprise environments, ideally in financial services.
Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
Solid understanding of ETL/ELT, data modeling, and SQL.
Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
Strong knowledge of Python and SQL scripting; experience with API integrations.
Ability to evaluate multiple implementation approaches and recommend optimal solutions.
Exposure to data visualization and data engineering practices.
Excellent communication skills, with the ability to mentor
Skills: Digital : Dataiku
Experience Required[RATE REDACTED], Project Code :