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AI Data Engineer - Langchain | AWS | SQL | Onsite (Quad Cities)

AI Data Engineer - Langchain | AWS | SQL | Onsite (Quad Cities)

Macpower Digital Assets EdgeBettendorf, IA, United States
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NOTE :

  • W2 only - no C2C, please.
  • This position is onsite in the Quad Cities (IA / IL) area at our client's facility.
  • No sponsorship is available now or in the future for this role. Candidates who require or will require sponsorship will not be considered.
  • Candidates MUST appear on video at every stage of the interview process. If a candidate cannot be on camera, they will not be considered.
  • Hourly pay is based on experience and W2 ONLY

Position Summary :

  • We are seeking a highly skilled and motivated I Data Engineer with hands-on experience in Langchain , large data sets , WS , and deep expertise in SQL and databases . In this role, you'll design, develop, and maintain scalable data pipelines, enable AI model integration, and manage large-scale datasets in cloud environments.
  • Our client is a leader in AI and data innovation, empowering organizations to drive growth and efficiency through cutting-edge technology. As part of their team, you will help build robust AI-driven systems powered by large-scale data solutions.

    • Key Responsibilities :

  • Data Engineering : Design, develop, and manage efficient data pipelines for large datasets, with a focus on scalability and performance.
  • Langchain Integration : Leverage Langchain to automate workflows, enhance AI models, and streamline data-driven processes.
  • Cloud Infrastructure (AWS) : Build and scale cloud data environments using AWS services such as S3, EC2, Lambda, Redshift, and more.
  • SQL & Databases : Write advanced SQL queries for data extraction, transformation, and analysis. Ensure database performance and integrity.
  • Collaboration : Partner with Data Scientists, AI Engineers, and cross-functional teams to ensure data readiness for machine learning and analytics use cases.
  • Data Quality & Governance : Monitor and maintain data quality, implement error-handling procedures, and ensure adherence to privacy and compliance standards.
  • Performance Optimization : Continuously improve and fine-tune data pipelines and queries for better performance and scalability.
  • Documentation : Create and maintain thorough documentation of data architecture, workflows, and processes for knowledge sharing and collaboration.

    • Experience :

  • 3+ years as a Data Engineer, with a focus on AI or machine learning pipelines
  • Proven experience using Langchain to develop AI workflows and automation
  • Strong experience with large-scale data and distributed systems
  • Proficiency in SQL and hands-on experience with both relational (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases
  • Deep familiarity with AWS services such as S3, EC2, Lambda, Redshift, and RDS

    • Technical Skills :

  • Proficient in Python
  • Solid understanding of database design , data modeling , and query optimization
  • Familiar with data warehousing concepts and tools
  • Experience with data pipeline orchestration tools like Apache Airflow (or similar)
  • Strong knowledge of I / ML data workflows , including preprocessing and feature engineering

    • Education :

  • Bachelor's or Master's degree in Computer Science , Data Engineering , rtificial Intelligence , or a related field

    • Soft Skills :

  • Excellent analytical and problem-solving abilities
  • Strong communication skills, especially in explaining complex concepts to non-technical audiences
  • bility to manage multiple priorities in a fast-paced environment
  • Collaborative and team-oriented work ethic

    • Preferred Qualifications

  • Experience with pache Spark , Kafka , or other big data tools
  • Familiarity with Docker and Kubernetes for deploying scalable data solutions
  • Knowledge of AI-specific workflows, such as data preparation for natural language processing (NLP) , computer vision , or other AI domains
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