What are the responsibilities and job description for the AI Platform Engineer/ Data Quality & Automation / Hybrid in Chicago position at Motion Recruitment Partners, LLC?
A healthcare technology organization is seeking a Forward Deployed Data Engineer to help build the foundation for data-driven operations and AI-powered solutions. This full-time position offers remote flexibility within the Chicagoland area, allowing for in person collaborations in Logan Square. The environment leverages AWS, Python, SQL, cloud data platforms, and emerging AI technologies to support mission-critical healthcare operations.
This is not a traditional data engineering position focused solely on ETL development or dashboard creation. Instead, the team is looking for an engineer who enjoys working across software development, data architecture, validation, and AI systems. The successful candidate will play a key role in ensuring data quality, building trusted datasets, measuring AI effectiveness, and creating operational visibility that drives business decisions. For engineers who enjoy wearing multiple hats and solving ambiguous problems, this is a rare opportunity to influence both technology strategy and business outcomes. Required Skills & Experience
Daily Responsibilities
Applicants must be authorized to work in the U.S. on a full-time basis now and in the future.
#LI-OP
This is not a traditional data engineering position focused solely on ETL development or dashboard creation. Instead, the team is looking for an engineer who enjoys working across software development, data architecture, validation, and AI systems. The successful candidate will play a key role in ensuring data quality, building trusted datasets, measuring AI effectiveness, and creating operational visibility that drives business decisions. For engineers who enjoy wearing multiple hats and solving ambiguous problems, this is a rare opportunity to influence both technology strategy and business outcomes. Required Skills & Experience
- 5 years of experience in Software Engineering, Data Engineering, Analytics Engineering, or related roles
- Strong Python development skills
- Advanced SQL expertise
- Experience working with production data systems
- Data modeling and data architecture experience
- Experience validating, testing, and monitoring data quality
- Ability to work directly with business stakeholders
- Experience supporting operational reporting and analytics initiatives
- AWS or comparable cloud experience
- Strong communication skills
- Experience supporting AI, LLM, or automation initiatives
- Healthcare or Revenue Cycle Management experience
- Experience with claims, EDI, denials, eligibility, or healthcare operations
- Snowflake, Databricks, Redshift, or modern cloud data platforms
- dbt, Airflow, Dagster, or similar tooling
- Experience measuring system performance and operational outcomes
- Exposure to software testing, quality engineering, or validation frameworks
- HIPAA-regulated data environments
- 35% Data Quality & Validation
- 30% Software Engineering & AI Enablement
- 25% Data Modeling & Architecture
- 10% Stakeholder Support & Business Visibility
Daily Responsibilities
- 80% Hands-On Engineering
- 5% Management Duties
- 15% Team Collaboration
- Bonus Eligible
- Competitive Base Salary
- Employee Stock Purchase Program
- Flexible Time Off
- Hybrid or Remote Flexibility
- Professional Development Opportunities
- Medical, Dental, and Vision Insurance
- 401(k) with Company Match
- Flexible PTO
- Wellness Benefits
- Employee Stock Purchase Plan
- Professional Development Support
Applicants must be authorized to work in the U.S. on a full-time basis now and in the future.
#LI-OP
Salary : $140,000 - $170,000