KTek Resourcing
DataIku Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Dataiku Engineer with a contract length of over 6 months, remote work location, a pay rate of "unknown," requiring advanced skills in Dataiku, AI/ML, and AWS, along with an Azure Database Administrator Associate certification.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
November 11, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Alpharetta, GA
-
🧠 - Skills detailed
#Security #ML (Machine Learning) #DBA (Database Administrator) #Monitoring #Redshift #Data Architecture #"ETL (Extract #Transform #Load)" #Data Quality #Strategy #AWS (Amazon Web Services) #Datasets #Dataiku #Cloud #Python #Scripting #Deployment #Scala #S3 (Amazon Simple Storage Service) #Azure #Data Strategy #DevOps #AI (Artificial Intelligence) #Compliance #EC2 #Lambda (AWS Lambda) #Version Control #Leadership
Role description
Job Title: DataIKu Engineer
Location: [Remote– Atlanta, GA & Cincinnati, OH]
Duration: Full-Time
Job Description:
• Lead the architecture, design, and development of enterprise Dataiku workflows, pipelines, and ML solutions.
• Oversee data preprocessing, transformation, and feature engineering for structured and unstructured datasets at scale.
• Collaborate with AI/ML teams to develop, train, deploy, and monitor machine learning models in production.
• Automate workflows and pipelines using Python scripting, ensuring scalability, maintainability, and efficiency.
• Integrate Dataiku workflows with AWS services: S3, Glue, Lambda, EC2, Redshift, and other cloud analytics services.
• Establish and enforce DevOps/CI-CD practices for automated deployment, testing, version control, and monitoring of Dataiku projects.
• Ensure data quality, governance, compliance, and security across all pipelines and ML workflows.
• Provide technical leadership and mentorship to senior, mid-level, and junior engineers.
• Collaborate with C-level executives, business stakeholders, and analytics teams to define enterprise data strategy and roadmap.
• Contribute to enterprise data architecture standards, best practices, and governance policies.
• Drive performance optimization, cost efficiency, and scalability for enterprise Dataiku deployments.
• Primary Skills 1 Required: Advanced - Professional with high knowledge, significant ability and hands-on experience. Can provide supervision to others in DataIku/Python
• Primary Skill 2 Required: Advanced - Professional with high knowledge, significant ability and hands-on experience. Can provide supervision to others in AI/ML
• Secondary Skill 1 Required: Advanced - Professional with high knowledge, significant ability and hands-on experience. Can provide supervision to others in AWS
• Secondary Skill 2 Required: Experienced & Practioner with Basic knowledge with demonstrated hands-on experience. Requires no / minimal supervision in Devops CI/CD
Qualification:
• Minimum Educational Qualification required : Engineer - B.E / B.Tech / MCA
• Mandatory Certification required : Azure Database Administrator Associate
• Engineer - B.E / B.Tech / MCA Required :Engineer - B.E / B.Tech / MCA
Thanks and Have a Great Day
Job Title: DataIKu Engineer
Location: [Remote– Atlanta, GA & Cincinnati, OH]
Duration: Full-Time
Job Description:
• Lead the architecture, design, and development of enterprise Dataiku workflows, pipelines, and ML solutions.
• Oversee data preprocessing, transformation, and feature engineering for structured and unstructured datasets at scale.
• Collaborate with AI/ML teams to develop, train, deploy, and monitor machine learning models in production.
• Automate workflows and pipelines using Python scripting, ensuring scalability, maintainability, and efficiency.
• Integrate Dataiku workflows with AWS services: S3, Glue, Lambda, EC2, Redshift, and other cloud analytics services.
• Establish and enforce DevOps/CI-CD practices for automated deployment, testing, version control, and monitoring of Dataiku projects.
• Ensure data quality, governance, compliance, and security across all pipelines and ML workflows.
• Provide technical leadership and mentorship to senior, mid-level, and junior engineers.
• Collaborate with C-level executives, business stakeholders, and analytics teams to define enterprise data strategy and roadmap.
• Contribute to enterprise data architecture standards, best practices, and governance policies.
• Drive performance optimization, cost efficiency, and scalability for enterprise Dataiku deployments.
• Primary Skills 1 Required: Advanced - Professional with high knowledge, significant ability and hands-on experience. Can provide supervision to others in DataIku/Python
• Primary Skill 2 Required: Advanced - Professional with high knowledge, significant ability and hands-on experience. Can provide supervision to others in AI/ML
• Secondary Skill 1 Required: Advanced - Professional with high knowledge, significant ability and hands-on experience. Can provide supervision to others in AWS
• Secondary Skill 2 Required: Experienced & Practioner with Basic knowledge with demonstrated hands-on experience. Requires no / minimal supervision in Devops CI/CD
Qualification:
• Minimum Educational Qualification required : Engineer - B.E / B.Tech / MCA
• Mandatory Certification required : Azure Database Administrator Associate
• Engineer - B.E / B.Tech / MCA Required :Engineer - B.E / B.Tech / MCA
Thanks and Have a Great Day
