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React Developer For Training Ai Data Jobs in Iowa

Deloitte

Project - Data Engineer II

Des Moines, IA · On-site

$111K - $134K/yr

... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ... and training; licensure and certifications; and other business and organizational needs. The ...

Deloitte

Project - Data Engineer II

Davenport, IA · On-site

$108K - $130K/yr

... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ... and training; licensure and certifications; and other business and organizational needs. The ...

Meta

IA

$193K/yr

... for AI network repair and remediation programs across large-scale data center environments ... training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect ...

Pwc

US Tech - AI Engineering Manager

Des Moines, IA

$73K - $244K/yr

... robust data solutions for clients. They play a crucial role in transforming raw data into ... specialized training and/or progressively responsible work experience in technology for each ...

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

MDAEdge

Bettendorf, IA • On-site

$102K - $123K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
MDAEdge is a leader in AI and data innovation, empowering organizations to drive growth and efficiency through cutting-edge technology. They are seeking a highly skilled AI Data Engineer with hands-on experience in Langchain, AWS, and SQL to design, develop, and maintain scalable data pipelines and manage large-scale datasets.
Responsibilities:
• Design, develop, and manage efficient data pipelines for large datasets, with a focus on scalability and performance.
• Leverage Langchain to automate workflows, enhance AI models, and streamline data-driven processes.
• Build and scale cloud data environments using AWS services such as S3, EC2, Lambda, Redshift, and more.
• Write advanced SQL queries for data extraction, transformation, and analysis. Ensure database performance and integrity.
• Partner with Data Scientists, AI Engineers, and cross-functional teams to ensure data readiness for machine learning and analytics use cases.
• Monitor and maintain data quality, implement error-handling procedures, and ensure adherence to privacy and compliance standards.
• Continuously improve and fine-tune data pipelines and queries for better performance and scalability.
• Create and maintain thorough documentation of data architecture, workflows, and processes for knowledge sharing and collaboration.
Qualifications:
Required:
• 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
• 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 AI/ML data workflows, including preprocessing and feature engineering
• Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field
• Excellent analytical and problem-solving abilities
• Strong communication skills, especially in explaining complex concepts to non-technical audiences
• Ability to manage multiple priorities in a fast-paced environment
• Collaborative and team-oriented work ethic
Preferred:
• Experience with Apache 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
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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