Senior Data and AI Engineer

Job Title:
Primary Location: Chicago – Downtown – hybrid - onsite 3 days a week
Position Type: Direct hire

Overview
TalentFish is casting a line for a Senior Data and AI Engineer This is a direct hire role in Downtown Chicago with are premier client in the manufacturing industry – our client is a high growth progressive organization – best place to work – dynamic leadership team – employee owned – tremendous opportunity! This is a hands-on position in this role you will help the company turn data and analytics concepts into reliable production capabilities by building scalable data products, pipelines, APIs, and machine learning and AI solutions that support measurable business outcomes. Ideal candidates will have experience working in manufacturing – however super curious engineers who combine strong business acumen are encouraged to apply.

What You Bring to the Role. (Ideal Experience)

• Five or more years of experience in data engineering, machine learning engineering, software engineering, analytics engineering, or a related technical field.
• Strong Python development and advanced SQL skills, including experience with analytical data models and ETL or ELT pipelines.
• Experience delivering production solutions on modern cloud data platforms and integrating data from multiple enterprise systems.
• Knowledge of REST APIs, Git, automated testing, CI/CD, code review, and the full development-to-production lifecycle.
• Experience with Snowflake, dbt, FastAPI, Azure, Terraform, MLOps, Generative AI, or manufacturing and supply chain data is preferred.

What You'll Do. (Skills Used in this Position)

• Design, build, test, and maintain scalable data pipelines, transformations, analytical models, and reusable data products using Python, SQL, Snowflake, and dbt.
• Develop Python applications, APIs, and data services that connect enterprise data and models with downstream applications and workflows.
• Productionize machine learning, forecasting, optimization, and AI solutions, including deployment, monitoring, versioning, and retraining.
• Implement automated testing, data-quality controls, CI/CD, Infrastructure as Code, monitoring, and other modern engineering practices.
• Partner with data scientists, analysts, engineers, and business stakeholders to translate requirements into maintainable solutions and resolve production issues.

Compensation Information
The expected compensation for this position is $150-$175 depending on experience and qualifications. TalentFish is committed to pay transparency and equal opportunity. The compensation range provided will comply with applicable state and federal regulations. This role requires authorization to work in the U.S. without current or future visa sponsorship. All offers are contingent upon the completion of a background check, which may include but is not limited to reference checks, education verification, employment verification, drug testing, criminal records checks, and any required certifications or compliance requirements based on the end client's background check policies and applicable laws. TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI, video screening, and our unique platform. TalentFish focuses on providing the best employee, consultant, and client experience possible.
At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity!