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AI Platform Engineer/ Data Quality & Automation / Hybrid in Chicago

Kelly Services

Chicago, IL · HybridFull-time$140–170K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$140–170K/yr
Location
Chicago, ILHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

A healthcare technology organization seeks a Forward Deployed Data Engineer to build data foundations for operational and AI-powered solutions. The engineer will work across software development, data architecture, validation, and AI systems, helping ensure data quality, build trusted datasets, measure AI effectiveness, and provide operational visibility. The role is full-time, offers remote flexibility within the Chicagoland area, and includes in-person collaboration in Logan Square.

Skills & qualifications

RequiredNice to have

Skills

Python DevelopmentAdvanced SQLProduction Data SystemsData ModelingData ArchitectureData Quality ValidationData Quality TestingData Quality MonitoringStakeholder CollaborationOperational ReportingAnalyticsCloud ComputingAWSAI SupportLLM SupportAutomationHealthcareRevenue Cycle ManagementClaims ProcessingEDIDenials ManagementEligibility ManagementSnowflakeDatabricksRedshiftCloud Data PlatformsDbtAirflowDagsterSystem Performance MeasurementOperational Outcomes MeasurementSoftware TestingQuality EngineeringValidation FrameworksHIPAA-Regulated DataCommunication

Qualifications

5+ Years Engineering Experience

Benefits

Paid Time Off
Tuition Assistance
Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

$140000 - $170000

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

  • 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

Desired Skills & Experience

  • 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

What You Will Be Doing Tech Breakdown

  • 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

The Offer You will receive the following benefits:

  • 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

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

How this job compares

Set against the 5,790 open Data Engineer jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This posting$140–170K/yr
  • Illinois median$125–200K/yr153 salary ranges
  • US median$125–208K/yr4,462 salary ranges

This range's midpoint, $155K, is close to the Illinois median midpoint ($157K) — in the middle half of Data Engineer salary ranges in Illinois.

Openings
Olive Jobs lists 175 open Data Engineer jobs in Illinois and 5,790 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Illinois
Experience
This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,030 postings).
Education
2,225 of the 5,790 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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