Artmac
Salesforce Adaptive Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Salesforce Adaptive Analytics Engineer, contract length unspecified, offering a pay rate of "unknown". Located in Dallas, Texas (Hybrid), candidates should have 7-15 years of experience in Salesforce, Databricks, and AI-enabled analytics solutions. Salesforce and Databricks certifications are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 23, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Consulting #Data Engineering #Automation #Data Integration #Customer Segmentation #PySpark #Delta Lake #Data Pipeline #Batch #"ETL (Extract #Transform #Load)" #Forecasting #BI (Business Intelligence) #REST API #Python #Data Modeling #Cloud #Spark (Apache Spark) #Azure #ML (Machine Learning) #Databricks #JSON (JavaScript Object Notation) #Spark SQL #AI (Artificial Intelligence) #Computer Science #Datasets #SQL (Structured Query Language) #CRM (Customer Relationship Management) #REST (Representational State Transfer) #Tableau #Data Quality #Sales Cloud #Scala #Security #Big Data #AWS (Amazon Web Services) #Data Science #XML (eXtensible Markup Language)
Role description
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description
Job Title : Salesforce Adaptive Analytics Engineer
Job Type : W2/C2C
Experience : 7-15 Years
Location : Dallas, Texas (Hybrid)
Responsibilities
• 7+ years of experience with Salesforce and enterprise data platforms.
• Hands-on experience with Databricks and big data technologies.
• Experience building AI-enabled analytics solutions.
• Knowledge of customer data platforms (CDP) and Customer 360 concepts.
• Salesforce certifications are a plus.
• Databricks certifications are a plus.
• Design and build scalable data pipelines integrating Salesforce data with Databricks and cloud platforms.
• Develop adaptive analytics solutions for customer behavior analysis, forecasting, and AI-driven insights.
• Work with Salesforce Sales Cloud, Service Cloud, Data Cloud, and related CRM systems.
• Build and optimize ETL/ELT workflows using Databricks, PySpark, SQL, and Python.
• Create customer 360 views and unified business intelligence dashboards.
• Develop predictive models and intelligent automation workflows using AI/ML technologies.
• Integrate Salesforce with third-party enterprise systems using REST APIs and connectors.
• Collaborate with business teams, analysts, architects, and stakeholders to understand analytics requirements.
• Ensure data quality, governance, security, and performance optimization across platforms.
• Support real-time and batch analytics processing for enterprise-scale datasets.
• Troubleshoot and optimize analytics workflows and data integration processes.
• Document technical architecture, workflows, and implementation processes.
Required Skills
Salesforce Technologies
• Salesforce CRM
• Sales Cloud
• Service Cloud
• Salesforce Data Cloud
• SOQL
• Salesforce APIs
• CRM Analytics / Tableau CRM
Data Engineering & Analytics
• Databricks
• PySpark
• SQL
• Python
• ETL/ELT pipeline development
• Delta Lake
• Data modeling
Cloud & Integration
• Azure or AWS
• REST APIs
• JSON/XML
• Data integration frameworks
AI / Adaptive Analytics
• Predictive analytics
• Machine learning fundamentals
• Customer segmentation
• AI-driven personalization
• Recommendation systems
• Real-time analytics
Qualification
• Bachelor s degree in Computer Science, Information Systems, Data Science, or related field.
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description
Job Title : Salesforce Adaptive Analytics Engineer
Job Type : W2/C2C
Experience : 7-15 Years
Location : Dallas, Texas (Hybrid)
Responsibilities
• 7+ years of experience with Salesforce and enterprise data platforms.
• Hands-on experience with Databricks and big data technologies.
• Experience building AI-enabled analytics solutions.
• Knowledge of customer data platforms (CDP) and Customer 360 concepts.
• Salesforce certifications are a plus.
• Databricks certifications are a plus.
• Design and build scalable data pipelines integrating Salesforce data with Databricks and cloud platforms.
• Develop adaptive analytics solutions for customer behavior analysis, forecasting, and AI-driven insights.
• Work with Salesforce Sales Cloud, Service Cloud, Data Cloud, and related CRM systems.
• Build and optimize ETL/ELT workflows using Databricks, PySpark, SQL, and Python.
• Create customer 360 views and unified business intelligence dashboards.
• Develop predictive models and intelligent automation workflows using AI/ML technologies.
• Integrate Salesforce with third-party enterprise systems using REST APIs and connectors.
• Collaborate with business teams, analysts, architects, and stakeholders to understand analytics requirements.
• Ensure data quality, governance, security, and performance optimization across platforms.
• Support real-time and batch analytics processing for enterprise-scale datasets.
• Troubleshoot and optimize analytics workflows and data integration processes.
• Document technical architecture, workflows, and implementation processes.
Required Skills
Salesforce Technologies
• Salesforce CRM
• Sales Cloud
• Service Cloud
• Salesforce Data Cloud
• SOQL
• Salesforce APIs
• CRM Analytics / Tableau CRM
Data Engineering & Analytics
• Databricks
• PySpark
• SQL
• Python
• ETL/ELT pipeline development
• Delta Lake
• Data modeling
Cloud & Integration
• Azure or AWS
• REST APIs
• JSON/XML
• Data integration frameworks
AI / Adaptive Analytics
• Predictive analytics
• Machine learning fundamentals
• Customer segmentation
• AI-driven personalization
• Recommendation systems
• Real-time analytics
Qualification
• Bachelor s degree in Computer Science, Information Systems, Data Science, or related field.
