

Bluo Software LLC
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 10+ years of experience, located in Houston, TX. The contract offers a competitive pay rate. Key skills include Databricks, Python, PySpark, and integration with Copilot Studio and Salesforce AI Cloud.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 16, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Data Lake #Scala #AI (Artificial Intelligence) #Data Modeling #Power Automate #Cloud #Data Pipeline #Forecasting #Data Quality #Data Ingestion #Python #Spark (Apache Spark) #Business Analysis #Databricks #Azure Data Factory #Data Engineering #"ETL (Extract #Transform #Load)" #Security #Data Access #PySpark #Azure #Data Science #Programming #SQL (Structured Query Language) #Documentation #Data Processing #Automation #ADF (Azure Data Factory)
Role description
• Job Title: Data Engineer (Copilot Studio & Agentforce)
• Location: Houston, TX
• Employment Type: Contract
• Experience Level: 10+ years
About the Role
We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and PySpark, and hands-on experience integrating enterprise data with Copilot Studio and Agentforce (Salesforce AI Cloud).
The ideal candidate will design and maintain scalable data pipelines, support AI-driven analytics, and enable data accessibility for intelligent copilots that enhance decision-making across the organization.
Key Responsibilities
Data Engineering & Architecture
• Design, develop, and optimize ETL/ELT pipelines using Databricks, Azure Data Factory, and SQL-based frameworks.
• Build and manage data lakes, warehouses, and real-time data ingestion systems for structured and unstructured data.
• Write efficient and maintainable Python and PySpark code for data processing and transformation at scale.
• Implement best practices in data modeling, performance tuning, and cost optimization.
• Ensure data quality, governance, lineage, and cataloging using modern tools and standards.
AI and Copilot Integration
• Configure and extend Copilot Studio (Power Virtual Agents) for data-driven conversational workflows.
• Develop custom connectors and data adapters to enable Copilot access to enterprise data sources.
• Build prompt flows, plugins, and orchestrations to enhance Copilot’s contextual intelligence and automation.
• Integrate Copilot Studio with Microsoft 365 Copilot, Power Platform, and Dynamics 365 for unified experiences.
Agentforce Integration
• Integrate Agentforce (Salesforce AI Cloud) with enterprise data systems for analytics and AI automation.
• Design data pipelines and APIs between Databricks and Salesforce Data Cloud.
• Enable AI-driven forecasting, recommendations, and insights within Agentforce using existing data models.
• Support AI agent orchestration between Copilot Studio and Agentforce for seamless data exchange.
Collaboration & Delivery
• Collaborate with Data Scientists, AI Developers, and Business Analysts to deliver data and AI-driven solutions.
• Participate in architecture reviews and contribute to design decisions on scalability, performance, and security.
• Maintain comprehensive documentation of data pipelines, workflows, and integration frameworks.
Required Skills & Experience
• 10+ years of experience as a Data Engineer or Data Platform Developer.
• Strong programming skills in Python and PySpark.
• Hands-on experience with Databricks, Azure Data Factory, and SQL-based data warehousing solutions.
• Proven experience in data modeling, ETL/ELT development, and data performance optimization.
• Working knowledge of Copilot Studio (Power Virtual Agents), Power Automate, and Power Apps integration.
• Experience integrating with Salesforce Data Cloud, Agentforce, or Einstein AI.
• Familiarity with AI service integration (Azure OpenAI, Cognitive Services, or LLM-based tools).
• Understanding of CI/CD practices for data pipelines and cloud security principles.
Preferred Qualifications
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Microsoft Certified: Power Platform Solution Architect / Copilot Studio specialization
• Salesforce Certified: Data Cloud Consultant or AI Associate
• Experience in prompt engineering, AI orchestration, or semantic kernel integration.
• Job Title: Data Engineer (Copilot Studio & Agentforce)
• Location: Houston, TX
• Employment Type: Contract
• Experience Level: 10+ years
About the Role
We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and PySpark, and hands-on experience integrating enterprise data with Copilot Studio and Agentforce (Salesforce AI Cloud).
The ideal candidate will design and maintain scalable data pipelines, support AI-driven analytics, and enable data accessibility for intelligent copilots that enhance decision-making across the organization.
Key Responsibilities
Data Engineering & Architecture
• Design, develop, and optimize ETL/ELT pipelines using Databricks, Azure Data Factory, and SQL-based frameworks.
• Build and manage data lakes, warehouses, and real-time data ingestion systems for structured and unstructured data.
• Write efficient and maintainable Python and PySpark code for data processing and transformation at scale.
• Implement best practices in data modeling, performance tuning, and cost optimization.
• Ensure data quality, governance, lineage, and cataloging using modern tools and standards.
AI and Copilot Integration
• Configure and extend Copilot Studio (Power Virtual Agents) for data-driven conversational workflows.
• Develop custom connectors and data adapters to enable Copilot access to enterprise data sources.
• Build prompt flows, plugins, and orchestrations to enhance Copilot’s contextual intelligence and automation.
• Integrate Copilot Studio with Microsoft 365 Copilot, Power Platform, and Dynamics 365 for unified experiences.
Agentforce Integration
• Integrate Agentforce (Salesforce AI Cloud) with enterprise data systems for analytics and AI automation.
• Design data pipelines and APIs between Databricks and Salesforce Data Cloud.
• Enable AI-driven forecasting, recommendations, and insights within Agentforce using existing data models.
• Support AI agent orchestration between Copilot Studio and Agentforce for seamless data exchange.
Collaboration & Delivery
• Collaborate with Data Scientists, AI Developers, and Business Analysts to deliver data and AI-driven solutions.
• Participate in architecture reviews and contribute to design decisions on scalability, performance, and security.
• Maintain comprehensive documentation of data pipelines, workflows, and integration frameworks.
Required Skills & Experience
• 10+ years of experience as a Data Engineer or Data Platform Developer.
• Strong programming skills in Python and PySpark.
• Hands-on experience with Databricks, Azure Data Factory, and SQL-based data warehousing solutions.
• Proven experience in data modeling, ETL/ELT development, and data performance optimization.
• Working knowledge of Copilot Studio (Power Virtual Agents), Power Automate, and Power Apps integration.
• Experience integrating with Salesforce Data Cloud, Agentforce, or Einstein AI.
• Familiarity with AI service integration (Azure OpenAI, Cognitive Services, or LLM-based tools).
• Understanding of CI/CD practices for data pipelines and cloud security principles.
Preferred Qualifications
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Microsoft Certified: Power Platform Solution Architect / Copilot Studio specialization
• Salesforce Certified: Data Cloud Consultant or AI Associate
• Experience in prompt engineering, AI orchestration, or semantic kernel integration.