United Consulting Hub
Data Engineer – AI Platform
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer – AI Platform, 100% remote, W2 contract, offering competitive pay. Requires 5+ years in data engineering, proficiency in Python and SQL, and experience with cloud platforms and AI/ML workflows.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 26, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Modeling #Spark (Apache Spark) #Data Lake #Data Quality #"ETL (Extract #Transform #Load)" #Monitoring #SQL (Structured Query Language) #Data Pipeline #Docker #Consulting #REST (Representational State Transfer) #Compliance #Kafka (Apache Kafka) #Data Warehouse #Cloud #Kubernetes #Database Performance #Data Management #Data Engineering #Agile #GCP (Google Cloud Platform) #Azure #Automated Testing #Deployment #Data Integration #GIT #Documentation #Python #AWS (Amazon Web Services) #JSON (JavaScript Object Notation) #Databricks #Scala #BI (Business Intelligence) #REST API #ML (Machine Learning) #Data Ingestion #Security #AI (Artificial Intelligence) #Airflow #Data Governance #Data Science #Model Deployment #Data Processing #Metadata #Observability
Role description
Job Title: Data Engineer – AI Platform
Location: 100% Remote
Employment Type: W2
Job Summary
We are seeking a Data Engineer – AI Platform to design, build, and optimize scalable data pipelines and AI-driven solutions. The ideal candidate will have experience in data engineering, cloud platforms, ETL/ELT development, and AI/ML workflows, with the ability to support enterprise analytics and machine learning initiatives.
Responsibilities:
• Design, develop, and maintain data pipelines and integration workflows.
• Build and optimize ETL/ELT processes for data ingestion, transformation, and validation.
• Support AI/ML initiatives by developing feature pipelines and model deployment workflows.
• Ensure data quality, governance, security, and compliance standards are met.
• Optimize database performance, data processing, and AI workloads.
• Collaborate with data scientists, architects, and business stakeholders.
• Participate in Agile development processes and maintain technical documentation.
Required Skills:
• 5+ years of experience in Data Engineering, Data Integration, or Software Development.
• Strong proficiency in Python, SQL, and Data Modeling.
• Experience with ETL/ELT development and data pipeline orchestration.
• Knowledge of AI/ML concepts, Feature Stores, MLOps, and Model Deployment.
• Hands-on experience with AWS, Azure, or GCP cloud platforms.
• Experience with Data Warehouses, Data Lakes, and Lakehouse Architectures.
• Familiarity with Spark, Databricks, Airflow, Kafka, or similar data processing tools.
• Understanding of REST APIs, JSON, and data integration frameworks.
• Experience with CI/CD pipelines, Git, and Agile methodologies.
• Knowledge of data governance, metadata management, observability, and security best practices.
• Strong analytical, troubleshooting, and problem-solving skills.
Preferred Skills:
• Experience supporting enterprise AI/ML platforms.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Familiarity with modern analytics and business intelligence environments.
• Experience with automated testing and monitoring frameworks.
Apply / Refer:
Abhiram
Recruiter | United Consulting Hub
Email: abhiram@unitedconsultinghub.com
Job Title: Data Engineer – AI Platform
Location: 100% Remote
Employment Type: W2
Job Summary
We are seeking a Data Engineer – AI Platform to design, build, and optimize scalable data pipelines and AI-driven solutions. The ideal candidate will have experience in data engineering, cloud platforms, ETL/ELT development, and AI/ML workflows, with the ability to support enterprise analytics and machine learning initiatives.
Responsibilities:
• Design, develop, and maintain data pipelines and integration workflows.
• Build and optimize ETL/ELT processes for data ingestion, transformation, and validation.
• Support AI/ML initiatives by developing feature pipelines and model deployment workflows.
• Ensure data quality, governance, security, and compliance standards are met.
• Optimize database performance, data processing, and AI workloads.
• Collaborate with data scientists, architects, and business stakeholders.
• Participate in Agile development processes and maintain technical documentation.
Required Skills:
• 5+ years of experience in Data Engineering, Data Integration, or Software Development.
• Strong proficiency in Python, SQL, and Data Modeling.
• Experience with ETL/ELT development and data pipeline orchestration.
• Knowledge of AI/ML concepts, Feature Stores, MLOps, and Model Deployment.
• Hands-on experience with AWS, Azure, or GCP cloud platforms.
• Experience with Data Warehouses, Data Lakes, and Lakehouse Architectures.
• Familiarity with Spark, Databricks, Airflow, Kafka, or similar data processing tools.
• Understanding of REST APIs, JSON, and data integration frameworks.
• Experience with CI/CD pipelines, Git, and Agile methodologies.
• Knowledge of data governance, metadata management, observability, and security best practices.
• Strong analytical, troubleshooting, and problem-solving skills.
Preferred Skills:
• Experience supporting enterprise AI/ML platforms.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Familiarity with modern analytics and business intelligence environments.
• Experience with automated testing and monitoring frameworks.
Apply / Refer:
Abhiram
Recruiter | United Consulting Hub
Email: abhiram@unitedconsultinghub.com
