TalentAmp
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist/Data Engineer with expertise in Databricks and Azure, focusing on building scalable data pipelines and ML workflows. Contract length is unspecified, with a pay rate of "unknown." Remote work is available.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 1, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Texas, United States
-
🧠 - Skills detailed
#Databricks #Data Architecture #Data Pipeline #"ETL (Extract #Transform #Load)" #Apache Spark #Data Processing #Data Science #Spark (Apache Spark) #Deployment #Azure #Model Deployment #Scala #Data Engineering #Microsoft Azure #ML (Machine Learning) #Cloud #SQL (Structured Query Language) #Delta Lake #Python
Role description
Data Scientist / Data Engineer (Databricks & Azure)
📍 United States (Remote)
🧑 💻 100% Remote | Contract Role
We’re looking for a Data Scientist / Data Engineer with a strong blend of analytics and engineering expertise to build and scale data and machine learning solutions in a cloud environment.
This role is ideal for someone who’s hands-on with Databricks and Azure, and experienced in taking ML models from development to production.
🔧 What You’ll Do
• Design and build scalable data pipelines and machine learning workflows
• Develop and deploy ML models into production environments
• Work within Azure ecosystem (Data Factory, Azure ML, etc.)
• Optimize data performance, quality, and reliability
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Contribute to data architecture and ML lifecycle improvements
✅ What We’re Looking For
• Strong background in Data Science, Machine Learning, or related field
• Experience in both data science and engineering-focused environments
• Hands-on expertise with Databricks and Microsoft Azure
• Proven experience building data pipelines and ML workflows
• Strong coding skills (Python, SQL)
• Experience with model deployment and MLOps practices
• Solid understanding of ETL, data architecture, and distributed systems
⭐ Nice to Have
• Experience with Azure ML, Apache Spark, or Delta Lake
• Familiarity with CI/CD pipelines for ML
• Exposure to large-scale or real-time data processing
• Experience managing end-to-end ML lifecycle
Data Scientist / Data Engineer (Databricks & Azure)
📍 United States (Remote)
🧑 💻 100% Remote | Contract Role
We’re looking for a Data Scientist / Data Engineer with a strong blend of analytics and engineering expertise to build and scale data and machine learning solutions in a cloud environment.
This role is ideal for someone who’s hands-on with Databricks and Azure, and experienced in taking ML models from development to production.
🔧 What You’ll Do
• Design and build scalable data pipelines and machine learning workflows
• Develop and deploy ML models into production environments
• Work within Azure ecosystem (Data Factory, Azure ML, etc.)
• Optimize data performance, quality, and reliability
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Contribute to data architecture and ML lifecycle improvements
✅ What We’re Looking For
• Strong background in Data Science, Machine Learning, or related field
• Experience in both data science and engineering-focused environments
• Hands-on expertise with Databricks and Microsoft Azure
• Proven experience building data pipelines and ML workflows
• Strong coding skills (Python, SQL)
• Experience with model deployment and MLOps practices
• Solid understanding of ETL, data architecture, and distributed systems
⭐ Nice to Have
• Experience with Azure ML, Apache Spark, or Delta Lake
• Familiarity with CI/CD pipelines for ML
• Exposure to large-scale or real-time data processing
• Experience managing end-to-end ML lifecycle
