Dataiku Engineer
Stamford, CT · On-site +1
Stamford, CT/Remote Job Type: Long Term Contract Mandatory Skill: Dataiku Engineering experience ROLE DESCRIPTION: * Collaborate closely with the team to review, challenge, and optimize pipeline ...
Dataiku Engineer
Stamford, CT · On-site +1
Stamford, CT/Remote Job Type: Long Term Contract Mandatory Skill: Dataiku Engineering experience ROLE DESCRIPTION: * Collaborate closely with the team to review, challenge, and optimize pipeline ...
Medical Analytics Data Engineer
New York, NY · On-site +1
$124K - $207K/yr
Medical
Dental
Vision
Retirement
PTO
Databricks, DSS Data Science Studio (Dataiku) experience * Understanding of taxonomy structures and ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...
Medical Analytics Data Engineer
New York, NY · On-site +1
$124K - $207K/yr
Medical
Dental
Vision
Retirement
PTO
Databricks, DSS Data Science Studio (Dataiku) experience * Understanding of taxonomy structures and ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...
Remote Dataiku information
What is the difference between Remote Dataiku vs Data Analyst?
| Aspect | Remote Dataiku | Data Analyst |
|---|---|---|
| Required Credentials | Dataiku certifications, data science skills | Degree in statistics, data analysis, or related field |
| Work Environment | Remote, collaborative data science platforms | Office or remote, data interpretation and reporting |
| Industry Usage | Data science, analytics, AI projects | Business intelligence, reporting, data interpretation |
Remote Dataiku involves working with the Dataiku platform to build data pipelines and machine learning models remotely, often requiring technical certifications. Data Analysts focus on interpreting data, creating reports, and providing insights, typically with a background in statistics or business intelligence. While both roles work with data, Remote Dataiku emphasizes technical platform skills, whereas Data Analysts focus on data interpretation and reporting.
What are the most commonly searched types of Dataiku jobs in New York?
The most popular types of Dataiku jobs in New York are:
What are popular job titles related to Remote Dataiku jobs in New York?
For Remote Dataiku jobs in New York, the most frequently searched job titles are:
- Hotel Business Intelligence Analyst
- Full Time Business Intelligence Analyst Remote
- Executive Global Intelligence Analyst
- Work From Home Junior Business Intelligence Analyst
- Senior Competitive Intelligence Analyst
- Dia Intelligence Analyst
- Junior Business Intelligence Analyst Remote
- Flex Junior Business Intelligence Analyst
- Medical Intelligence Analyst
- Junior Crime Analyst
What job categories do people searching Remote Dataiku jobs in New York look for?
The top searched job categories for Remote Dataiku jobs in New York are:
- Amplifi Loyalty Solutions
- Sports Business Intelligence Analyst
- Intelligence Research Analyst
- Urgently Hiring Dea Intelligence Analyst
- Power Bi Analyst Night Shift
- Director Microsoft Business Intelligence
- Remote Encounter Data Analyst
- Flex Schedule Power Bi Analyst
- Day Shift Signals Intelligence Analyst Civilian
- Flexible Amazon Business Intelligence Engineer
What cities in New York are hiring for Remote Dataiku jobs?
Cities in New York with the most Remote Dataiku job openings:
Full-time
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Job description
Role Name: Dataiku Engineer
Job Location: Stamford, CT/Remote
Job Type: Long Term Contract
Mandatory Skill: Dataiku Engineering experience
ROLE DESCRIPTION:
Qualifications:
Job Location: Stamford, CT/Remote
Job Type: Long Term Contract
Mandatory Skill: Dataiku Engineering experience
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.