AI Data Engineer/ Data Scientist

Sentior, Ltd.; United States; On-site; USD 55,000 - 83,000; Part time

Job summary

Sentior, Ltd. is seeking an AI Data Engineer / Data Scientist in the United States to build and support data products focused on patient journey optimization and pre-call intelligence.

You will work with Snowflake, SQL, Python, and Dataiku to develop production-ready analytical solutions and scalable data pipelines. The role emphasizes feature engineering, model development, feature store management, and cross-functional collaboration in a governed enterprise environment.

Qualifications

Responsibilities

• Query and transform data from Snowflake to support analytical and ML use cases.
• Build and maintain feature datasets, tables, and views in Snowflake for downstream workflows and models.
• Create and maintain analytical workflows and features in Dataiku for data science teams and ML processes.
• Design, validate, and support ML models for patient journey optimization and pre-call intelligence use cases.
• Evaluate existing features in the Feature Store and promote reuse across analytical products.
• Develop and maintain analytical data products and reporting datasets to support BI and decision-making.
• Implement testing, validation, monitoring, and performance optimization for data pipelines.
• Troubleshoot data issues and assist with upstream pipelines and integrations as needed.
• Collaborate with data scientists, engineers, analytics teams, and business stakeholders to translate requirements into technical solutions.

Skills

Snowflake

SQL

Python

Dataiku

PySpark

Snowpark

Machine Learning basics

Data pipelines

Data modeling

CI/CD

Tools

Dataiku

Snowpark

PySpark

AWS Lambda

S3

Glue

Step Functions

Power BI

Job description

# AI Data Engineer/ Data Scientistnext ventures United States 3 maandenGepubliceerd 12 uur geleden · Opportunity ID: 1060967Tarief indicatie —Uren 40 u/wStart 30 Nov 2026Duur 3 maandenInteresse in deze opdracht?## De opdrachtAI Data Engineer / Data ScientistSnowflake | Dataiku | Machine LearningOverviewWe are seeking an AI Data Engineer / Data Scientist to help build and support data products focused on patient journey optimization and pre-call intelligence. This role combines data engineering, feature engineering, and applied machine learning to transform enterprise data into actionable insights and production-ready analytical solutions.The ideal candidate has hands-on experience with Snowflake, SQL, Python, and Dataiku, along with Snowpark or PySpark experience and a working knowledge of machine learning. You will collaborate with data scientists and cross-functional teams to build reliable data pipelines, develop feature datasets, and support the delivery of scalable, data-driven products in a governed enterprise environment.Key Responsibilities- Data Engineering & Transformation: Query, transform, and optimize data from Snowflake, working with existing star-schema tables to support analytical and machine learning use cases.- Feature Engineering: Build and maintain feature datasets, tables, and views in Snowflake to support downstream analytical workflows and model development.- Dataiku Development: Create and maintain analytical workflows and features in Dataiku for use by data science teams and machine learning models.- Machine Learning: Design, build, validate, and support machine learning models for patient journey optimization and pre-call intelligence use cases.- Feature Store Management: Evaluate existing features in the Feature Store before creating new ones, promoting reuse and consistency across analytical products.- Data Product Support: Develop and maintain analytical data products and reporting datasets that support business intelligence and decision-making.- Data Quality & Reliability: Implement testing, validation, monitoring, and performance optimization practices to ensure data accuracy and pipeline reliability.- Pipeline Support: Troubleshoot data issues and assist with upstream data pipelines and integrations as needed.- Cross-Functional Collaboration: Partner with data scientists, data engineers, analytics teams, and business stakeholders to translate requirements into effective technical solutions.Required Qualifications- Hands-on experience with Snowflake for data storage, transformation, querying, and analytical data development.- Strong SQL skills, including the ability to write and optimize complex queries for data transformation and feature engineering.- Proficiency in Python for data processing, analytical workflows, and machine learning applications.- Experience with Snowpark or PySpark for data processing and transformation.- Practical experience with Dataiku for analytical workflows, feature development, model scoring, or machine learning processes.- Familiarity with machine learning concepts and experience building, validating, or supporting ML models.- Experience developing and maintaining production data pipelines and reusable datasets.- Knowledge of data modeling, data quality testing, monitoring, and CI/CD practices.- Ability to work effectively in a governed enterprise environment with established data standards and controls.- Strong analytical, problem-solving, communication, and collaboration skills.Preferred Qualifications- Experience in healthcare, healthcare claims, patient support, provider data, or healthcare analytics.- Familiarity with healthcare professional (HCP) data or Veeva platforms.- Experience with AWS data services, including Lambda, S3, Glue, and Step Functions.- Familiarity with feature stores, feature reuse, and production machine learning workflows.- Experience with Power BI or other enterprise business intelligence and reporting tools.- Experience supporting data products that drive predictive analytics, customer insights, or workflow optimization.What We're Looking ForWe are looking for a technically strong, hands-on professional who can bridge data engineering and data science. The ideal candidate is comfortable working across data transformation, feature development, and machine learning workflows, with a focus on building reliable, reusable, and scalable data products that deliver meaningful business value.## SkillsAISnowflakeSQLPythonPYSPARKengineeringDevelopmentPipelinescollaborationMachine learningCI/CD PipelineAWSBusiness intelligencedata productsRequirementsPower BIData ScientistNu beschikbaar bijStatus**Open**Aanbieders**1**Gepubliceerd**28-10-2026**Sluit **02-11-2026 · over 4 dagen**