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Dataiku Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Dataiku Developer, remote in the United States, offering a contract length of "X months" at a pay rate of "$X/hour". Requires 5+ years in data architecture, strong Dataiku proficiency, and Azure ecosystem expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Stamford, CT
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🧠 - Skills detailed
#Data Architecture #Azure SQL #Dataiku #Data Management #"ETL (Extract #Transform #Load)" #Azure #Data Wrangling #Scripting #Security #Data Governance #Data Modeling #Scala #Synapse #API (Application Programming Interface) #Python #SQL (Structured Query Language) #Compliance #Data Pipeline #Data Lake #Data Engineering #Visualization
Role description
One of our leading client is looking for Dataiku Developer in United States remotely 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