Net2Source Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-month contract, paying $70-$75/hr. Remote work in PST hours. Requires 3-5 years of experience in Python, SQL, Snowflake, and AWS. Finance data experience is a plus; AI/ML knowledge is desirable.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
-
🗓️ - Date
June 17, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Monitoring #Lambda (AWS Lambda) #Scala #ML (Machine Learning) #Computer Science #Data Modeling #SQL (Structured Query Language) #AI (Artificial Intelligence) #AWS Lambda #Deployment #Python #Snowflake #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Data Engineering #Datasets #EC2 #dbt (data build tool) #"ETL (Extract #Transform #Load)" #Data Processing #Cloud #Langchain #Data Pipeline #Automation #Programming
Role description
Job Title: Data Engineer
Location: Remote, US (PST hours)
Hours: 9am to 5pm PST
Duration: 6 months contract with possible extension
Pay range: $70/hr. to $75/hr. on W2 (all Inclusive)
Note from manager:
This is for data Engineer, building Scalable data pipelines, complete ELT, Python (Automation, data Processing, data Pipeline Development)
Finance Background is a plus (Who has Finance Data experience from SQL perspective)
Snowflake required, DBT, structured pipelines, AWS, Lambda
Top Skills: Python, SQL, AWS, DBT
Python Programming is must
3 to 5 years’ experience
No Industry preferences
AI/ML is nice to have (LLM, RAG, LangGraph, LangChain, AI). If they have recently moved into AI Engineer roles along with Data Engineering expertise, these would be best.
Minimum Education Required: BS or MS Computer Science or related fields.
Top 3 experience “must haves”:
Python, SQL, Snowflake, AWS
Job Description:
Client’s is seeking an Data Engineer to data pipelines. The role focuses on finance data, RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale.
You will work closely with Product, Data, and Platform teams to deliver reliable, explainable, and production-ready AI solutions.
Responsibilities:
Strong Data Engineering experience building scalable data pipelines using Python and modern data platforms
Advanced Python skills for data processing, automation, AI/ML workflows, and pipeline development
Strong SQL and DBT expertise for data modeling, transformation, and analytics engineering
Hands-on experience in AI/ML model development, deployment, monitoring, and performance optimization
Work with finance and enterprise datasets ensuring accuracy and governance
Experience in Agent-to-Agent (A2A) architectures.
Technologies & Skills:
Python, SQL, DBT
Data: Snowflake, DBT, structured & unstructured data pipelines
Cloud: AWS (Code Pipeline - S3, EC2, ECS, Lambda etc)
Good to have:
Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns
LLMs: OpenAI (GPT-4/4.1), Anthropic
Job Title: Data Engineer
Location: Remote, US (PST hours)
Hours: 9am to 5pm PST
Duration: 6 months contract with possible extension
Pay range: $70/hr. to $75/hr. on W2 (all Inclusive)
Note from manager:
This is for data Engineer, building Scalable data pipelines, complete ELT, Python (Automation, data Processing, data Pipeline Development)
Finance Background is a plus (Who has Finance Data experience from SQL perspective)
Snowflake required, DBT, structured pipelines, AWS, Lambda
Top Skills: Python, SQL, AWS, DBT
Python Programming is must
3 to 5 years’ experience
No Industry preferences
AI/ML is nice to have (LLM, RAG, LangGraph, LangChain, AI). If they have recently moved into AI Engineer roles along with Data Engineering expertise, these would be best.
Minimum Education Required: BS or MS Computer Science or related fields.
Top 3 experience “must haves”:
Python, SQL, Snowflake, AWS
Job Description:
Client’s is seeking an Data Engineer to data pipelines. The role focuses on finance data, RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale.
You will work closely with Product, Data, and Platform teams to deliver reliable, explainable, and production-ready AI solutions.
Responsibilities:
Strong Data Engineering experience building scalable data pipelines using Python and modern data platforms
Advanced Python skills for data processing, automation, AI/ML workflows, and pipeline development
Strong SQL and DBT expertise for data modeling, transformation, and analytics engineering
Hands-on experience in AI/ML model development, deployment, monitoring, and performance optimization
Work with finance and enterprise datasets ensuring accuracy and governance
Experience in Agent-to-Agent (A2A) architectures.
Technologies & Skills:
Python, SQL, DBT
Data: Snowflake, DBT, structured & unstructured data pipelines
Cloud: AWS (Code Pipeline - S3, EC2, ECS, Lambda etc)
Good to have:
Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns
LLMs: OpenAI (GPT-4/4.1), Anthropic
