Applicantz

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 3+ years of experience, focusing on finance data and scalable data pipelines. Contract length is unspecified, with a pay rate of "unknown." Remote work in PST hours; no visa sponsorship available. Key skills include Python, SQL, Snowflake, and AWS. A BS or MS in Computer Science or related fields is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
592
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🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Deployment #"ETL (Extract #Transform #Load)" #Computer Science #Data Pipeline #AWS (Amazon Web Services) #AI (Artificial Intelligence) #ML (Machine Learning) #Python #Snowflake #Lambda (AWS Lambda) #EC2 #SQL (Structured Query Language) #Data Processing #dbt (data build tool) #Automation #Scala #Data Modeling #Langchain #Cloud #Monitoring #S3 (Amazon Simple Storage Service) #Datasets #Data Engineering
Role description
Remote role, PST work hours (9-5). VISA SPONSERSHIP IS NOT AVAILABLE Seeking for a 3+ years experienced 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. Top must have's skills: Python, SQL, Snowflake, AWS. Technologies & Skills used: • Python, SQL, DBT • Data: Snowflake, DBT, structured & unstructured data pipelines • Cloud: AWS (Code Pipeline - S3, EC2, ECS, Lambda etc) Nice to have skills: • Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns oLLMs:- OpenAI (GPT-4/4.1), Anthropic. Education: BS or MS Computer Science or related fields is required 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. Our Fortune Technology client is ranked as one of the best companies to work with in the world. As a global leader in 3D design, engineering, and entertainment software, they foster a progressive culture, creativity, and a flexible work environment using cutting-edge technologies.