Nexwave
Data Engineer with AI & CRM
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with AI & CRM expertise in Sunnyvale, CA. Contract length is unspecified, with a pay rate on W2 only. Requires 6+ years of experience, SQL, Informatica, Python, and CRM knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Datasets #Data Governance #Programming #Java #Data Lineage #ML (Machine Learning) #SQL (Structured Query Language) #Data Quality #Data Aggregation #Storage #Data Privacy #Security #Scala #Data Architecture #"ETL (Extract #Transform #Load)" #Monitoring #Python #Data Engineering #AI (Artificial Intelligence) #Compliance #Informatica #Databases #Oracle #Normalization #CRM (Customer Relationship Management)
Role description
Role : Data Engineer with AI & CRM
Location : Sunnyvale, CA (Face 2 Face/F2F/Onsite) - Only Locals to California
•
•
• Only W2 Role - No C2C
We have open demand for Senior Data Engineer (6+ Years Exp) with AI/ML Focus (SQL, Informatica or similar, Python, Basic understanding of Java) for SCV location. Please share suitable profiles and internal feedback.
## 🔧 Core Responsibilities
### 1. Data Architecture
- Identify good data set and data candidates for building AI based recommendation engine
- Design denormalized data structures optimized for LLM consumption
- Aggregate data from multiple CRM modules/tables into one for LLM consumption
- Implement data quality monitoring and validation frameworks
### 2. CRM Data Expertise
- Analyze complex CRM schemas (Accounts, Opportunities, Notes, Order History, Account Actuals)
- Understand business relationships between entities and their impact on recommendations
- Map data lineage from source systems to AI-ready datasets
### 3. AI/ML Data Preparation
- Data preprocessing and normalization for LLM consumption
- Create training datasets for recommendation model improvement
- Implement data versioning for model reproducibility
### 4. Performance Optimization
- Query optimization for large-scale data aggregation
- Caching strategies for frequently accessed recommendation data
- Scalability planning for growing data volumes
## 🎓 Required Technical Skills
### Core Data Engineering (Must-Have)
- SQL Expertise: Advanced Oracle query optimization, complex joins, window functions
- ETL/ELT Tools: Informatica or similar
- Programming: Python basics, SQL, basic understanding of Java
### AI/ML Data Specialization (Important)
- Feature Engineering: Experience with recommendation systems, time-series analysis
- Data Preprocessing: Normalization, encoding, handling missing data for ML models
- Vector Databases: Experience with embedding storage and retrieval
- LLM Data Preparation: Understanding of context windows, token optimization, prompt engineering data needs
### CRM/Business Systems (Important)
- CRM Platforms : SugarCRM, Salesforce, or similar enterprise CRM systems
- Data Governance : Understanding of data privacy, security, and compliance requirements
Stephen
Lead Talent Acquisition Specialist
Email : stephen@nexwaveinc.com
Role : Data Engineer with AI & CRM
Location : Sunnyvale, CA (Face 2 Face/F2F/Onsite) - Only Locals to California
•
•
• Only W2 Role - No C2C
We have open demand for Senior Data Engineer (6+ Years Exp) with AI/ML Focus (SQL, Informatica or similar, Python, Basic understanding of Java) for SCV location. Please share suitable profiles and internal feedback.
## 🔧 Core Responsibilities
### 1. Data Architecture
- Identify good data set and data candidates for building AI based recommendation engine
- Design denormalized data structures optimized for LLM consumption
- Aggregate data from multiple CRM modules/tables into one for LLM consumption
- Implement data quality monitoring and validation frameworks
### 2. CRM Data Expertise
- Analyze complex CRM schemas (Accounts, Opportunities, Notes, Order History, Account Actuals)
- Understand business relationships between entities and their impact on recommendations
- Map data lineage from source systems to AI-ready datasets
### 3. AI/ML Data Preparation
- Data preprocessing and normalization for LLM consumption
- Create training datasets for recommendation model improvement
- Implement data versioning for model reproducibility
### 4. Performance Optimization
- Query optimization for large-scale data aggregation
- Caching strategies for frequently accessed recommendation data
- Scalability planning for growing data volumes
## 🎓 Required Technical Skills
### Core Data Engineering (Must-Have)
- SQL Expertise: Advanced Oracle query optimization, complex joins, window functions
- ETL/ELT Tools: Informatica or similar
- Programming: Python basics, SQL, basic understanding of Java
### AI/ML Data Specialization (Important)
- Feature Engineering: Experience with recommendation systems, time-series analysis
- Data Preprocessing: Normalization, encoding, handling missing data for ML models
- Vector Databases: Experience with embedding storage and retrieval
- LLM Data Preparation: Understanding of context windows, token optimization, prompt engineering data needs
### CRM/Business Systems (Important)
- CRM Platforms : SugarCRM, Salesforce, or similar enterprise CRM systems
- Data Governance : Understanding of data privacy, security, and compliance requirements
Stephen
Lead Talent Acquisition Specialist
Email : stephen@nexwaveinc.com
