AI Data Engineer (ON-SITE in Moline, IL)

This is on-site in Moline, Ill. (4 days/wk) *No exceptions

Pay Range: $65/hr - 75/hr​

Job Type: Full-Time Hourly

Work visa sponsorship not available for this role

We are looking for an AI Data Engineer to join our client's team and contribute to the development of AI-driven systems using large-scale data solutions.

Our most important, must-have experience includes:

• Building AI Chatbots and Agents
• AI applications deployed and supported in production environments
• Hands-on project-level experience with OpenAI, LangChain, and vector stores
• Experience with SQL in big data environments

Job Overview:

We are seeking a highly skilled and motivated AI Data Engineer with experience in Open AI, Python, PySpark, Langchain, large data sets, AWS, and expertise in SQL queries.

This role will involve working on the design, development, and maintenance of robust data pipelines, facilitating the integration of AI models, and processing large-scale datasets in cloud-based environments.

Key Responsibilities:

• Data Engineering: Design, develop, and manage data pipelines to handle and process large datasets with a focus on scalability and efficiency.
• Langchain Integration: Utilize Langchain to build and optimize AI workflows, automate processes, and enhance AI model capabilities with data-driven features.
• Cloud Data Infrastructure: Manage and scale data infrastructure on AWS, using services such as S3, EC2, Lambda, Redshift, and others.
• SQL & Database Expertise: Write complex SQL queries for data extraction, transformation, and analysis. Optimize database performance and ensure data integrity.
• Collaboration: Work closely with Data Scientists, AI Engineers, and other stakeholders to ensure data is properly structured for machine learning models and other analytics use cases.
• Data Quality & Governance: Monitor data quality, create processes for error handling, and ensure compliance with data privacy regulations and best practices.
• Performance Optimization: Continuously optimize and fine-tune data processing pipelines and database queries for better performance and scalability.
• Documentation: Maintain detailed documentation on the architecture, data processes, and code to ensure smooth collaboration and knowledge transfer.

Requirements:

• 3 years of experience as a Data Engineer, with a focus on AI or machine learning data pipelines.
• Building AI Chatbots and Agents
• Hands-on experience with Langchain for building and optimizing AI workflows and automation.
• Strong experience with large-scale data management, including working with distributed systems and processing massive datasets.
• Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases.
• Extensive experience with AWS

Technical Skills:

• Building AI Chatbots and Agents
• Proficient in Python and PySpark
• Strong understanding of database design, data modeling, and query optimization.
• Familiarity with data warehousing concepts and tools.
• Experience working with data pipelines and workflow orchestration tools like Apache Airflow, or similar.
• Knowledge of AI and machine learning concepts, particularly around data preprocessing and feature engineering.

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.

Benefits:

• Subsidized Health, dental, and vision insurance.

The target hiring compensation range for this role is $65/hr - $75/hr. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.