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Dataiku Jobs in Florida (NOW HIRING)

Mastech Digital

Mlops Engineer

Tampa, FL · On-site

Experience with AI tools, such as MS Azure ML, Snowflake, Databricks, CortexAI, Dataiku. * Deep understanding of data science principles, algorithms, and tools. * Strong knowledge of data governance ...

BAE Systems

IT Sys Arch Sr Prin

Fort Walton Beach, FL · On-site

$108K - $184K/yr

Familiarity with cloud-based services and solutions such as AWS, Azure, and Dataiku. * Experience with data mapping and modeling is a plus. * Graph experience is required, including graph databases ...

BAE Systems

Data Eng Sr

Fort Walton Beach, FL · On-site

$79K - $134K/yr

Experience with Dataiku * Experience with building reports using PowerBI and Tableau * Familiarity with agile development methodologies and version control systems such as Git * Certification in data ...

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See Florida salary details

$1.7K

$3.3K

$6.2K

How much do dataiku jobs pay per month?

As of Jul 26, 2026, the average monthly pay for dataiku in Florida is $3,306.75, according to ZipRecruiter salary data. Most workers in this role earn between $2,425.00 and $3,733.33 per month, depending on experience, location, and employer.

Is Dataiku a good company to work for?

Dataiku is a technology company known for its data science platform, and many employees cite a collaborative work environment and opportunities for skill development. As a data analyst or data scientist working there, you can expect a focus on innovation, teamwork, and continuous learning. Employee reviews vary, so researching specific roles and company culture is recommended.

Is Dataiku a big company?

Dataiku is a mid-sized company specializing in data science and machine learning platforms. It has grown significantly since its founding and serves numerous enterprise clients worldwide, making it a notable player in the industry. Employees working there often use tools like Python, R, and SQL, and the company offers a collaborative work environment.

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.

How much do Dataiku consultants make?

Dataiku consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and project complexity. Senior consultants with specialized skills in data science and machine learning can earn higher salaries, especially when working on complex integrations or enterprise-scale projects.

What does Dataiku do?

A Dataiku professional works with the Dataiku platform to develop and implement data analytics, machine learning models, and data workflows. They often use tools like SQL, Python, or R and collaborate with data teams to turn data into actionable insights. Strong technical skills and understanding of data science processes are essential for this role.

What is a Dataiku job?

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 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 are the most commonly searched types of Dataiku jobs in Florida? The most popular types of Dataiku jobs in Florida are:
What are popular job titles related to Dataiku jobs in Florida? For Dataiku jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Dataiku jobs in Florida look for? The top searched job categories for Dataiku jobs in Florida are:
Dataiku jobs near you
Infographic showing various Dataiku job openings in Florida as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 5% Part Time, and 6% Contract. Highlights an 74% Physical, 7% Hybrid, and 19% Remote job distribution, with an average salary of $39,681 per year, or $19.1 per hour.
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Posted 23 days ago

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 :

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