AI Data Engineer Jobs in Chicago, IL
AI Data Engineer jobs in Chicago are concentrated in the Loop, River North, and Fulton Market, where demand from finance, healthcare technology, and enterprise software firms stays strong. Employers hiring right now include JPMorganChase, Grant Thornton, and Blue Cross Blue Shield. Scan the live roles below and apply to whichever ones fit.
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Technical Scrum Master — Healthcare Data & AI
Scrum Master I
Who We Are:
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.
With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.
Visit us at UST.com.
You Are:
UST is searching for an experienced Technical Scrum Master with strong US healthcare domain experience and solid technical knowledge of AWS, data engineering, Databricks, and machine learning data pipelines.
The opportunity:
- Serve as the Scrum Master and Agile delivery leader for one or more technical data/AI teams
- Facilitate effective Sprint Planning, Daily Scrum, Backlog Refinement, Sprint Reviews, Retrospectives, and Agile ceremonies
- Partner with Product Owners to maintain a healthy, prioritized, and technically actionable backlog
- Ensure stories have clear acceptance criteria, dependencies, estimates, and appropriate technical detail before sprints
- Drive predictable sprint execution and continuously improve team velocity, quality, and delivery predictability
- Identify and proactively resolve impediments affecting team productivity and delivery
- Track and communicate sprint, release, milestone, dependency, and delivery risks
- Facilitate cross-team coordination where multiple data, application, infrastructure, or ML teams have dependencies
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
What you need:
- 6+ years of experience in Agile/Scrum delivery with significant support for technical engineering teams
- 4+ years of experience working in the US healthcare industry (preferred/required)
- Proven experience working with data engineering, cloud, analytics, or AI/ML teams
- Strong understanding of Scrum and Agile methodologies
- Experience managing complex technical dependencies across multiple teams
- Strong understanding of AWS and cloud-based technology environments
- Working knowledge of data engineering and data pipeline architectures
- Working knowledge of Databricks, Spark/PySpark, SQL, or equivalent modern data engineering technologies
- Understanding of machine learning data pipelines and ML engineering workflows
- Experience working with technical teams consisting of Data Engineers, ML Engineers, DevOps Engineers, Architects, and technical SMEs
- Strong experience with Jira or equivalent Agile delivery platforms
- Strong stakeholder management and executive communication skills
- Demonstrated ability to identify, escalate, and drive resolution of technical and organizational impediments
- Strong analytical, problem-solving, facilitation, and communication skills
- Technical Knowledge & Skills Required
- AWS cloud fundamentals and enterprise architecture concepts (S3, IAM, compute, networking, monitoring, security services)
- Understanding of AWS-based application and data-platform dependencies
- Familiarity with cloud environments, deployment processes, and CI/CD
- Modern data engineering architectures and data pipelines
- Batch and streaming data-processing concepts
- Data ingestion, transformation, validation, data quality, orchestration, and downstream consumption
- Data lake/lakehouse architecture
- CI/CD, Git, automated testing, deployment pipelines, environment management, and release processes
- Production support, incident management, root-cause analysis, and operational readiness
- Healthcare fundamentals: clinical data, healthcare claims data, and business processes
- Healthcare-specific data quality, privacy, security, and regulatory considerations (PHI/PII, HIPAA)
- Preferred Qualifications
- Experience supporting enterprise healthcare data platforms
- Familiarity with Databricks and modern lakehouse architectures
- Familiarity with Unity Catalog, Delta Lake, and Apache Iceberg
- Familiarity with AWS data services and cloud security
- Familiarity with healthcare data standards (FHIR, HL7, X12/EDI, 835, 837, 834)
- Experience with Jira, Confluence, GitHub, Azure DevOps, or similar enterprise tools
- Scrum Master certification (CSM, PSM, or SAFe)
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.
Role Location: Remote - US
Compensation Range: $80,000-$120,000
Benefits
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching.
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.
What we believe:
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.
Humility:
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
Humanity:
Through business, we will better the lives of those less fortunate than ourselves.
Integrity:
We honor our commitments and act with responsibility in all our relationships.
Equal Employment Opportunity Statement
UST is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances.
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.
#UST
#CB
#LI-AP6
#LI-Remote
Skills
Jira, Confluence, Scrum, Stakeholder Management, Data Engineering, HIPAA, AWS, Machine Learning
Benefits
Compensation range: $80,000.00 to $120,000.00 per year
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
See All 48 AI Data Engineer Jobs in Chicago
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Find AI Data Engineer JobsAI Data Engineer Job Market in Chicago
Who's Hiring



Top Industries Hiring
- Education
- Consulting & Professional Services
- Manufacturing
- Technology & Software
- Healthcare & Medical Services
AI Data Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a ai data engineer job in Chicago?
Target the Loop and Fulton Market first, where Chicago's densest concentration of fintech, trading firms, and enterprise tech employers actively hire ai data engineers. Candidates with hands-on experience in data pipeline orchestration, ML infrastructure, and cloud platforms like Azure or AWS stand out most. Building a portfolio that reflects large-scale, production-grade pipelines resonates well with Chicago's finance and healthcare technology hiring managers.
Which companies hire ai data engineers in Chicago?
Employers hiring ai data engineers in Chicago right now include JPMorganChase, Grant Thornton, and Blue Cross Blue Shield, based on current listings on Migrate Mate as of September 2026. Chicago's hiring mix is broad, pulling from large financial institutions and insurance firms in the Loop, fast-growing health tech companies in the Medical District corridor, and enterprise software companies anchored in River North and the West Loop.
Are there remote ai data engineer jobs in Chicago?
Yes, and ai data engineering is among the more remote-compatible technical roles given its desk-based, infrastructure-focused nature. About 86% of ai data engineer openings tied to Chicago are remote or hybrid as of September 2026, reflecting the city's mature tech employer base. Pipeline development, model deployment, and data architecture work tend to be the most remote-friendly responsibilities for this role in Chicago.
How can I get a ai data engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is landing a junior data engineer or analytics engineer role at one of the city's many mid-size insurtech, healthtech, or fintech startups, which hire more flexibly than large institutions. Building public projects on GitHub that demonstrate ETL pipeline design and working knowledge of tools like Spark, dbt, or Airflow gives Chicago hiring managers something concrete to evaluate before an interview.
Which industries hire the most ai data engineers in Chicago?
The sectors hiring the most ai data engineers in Chicago are Education, Consulting & Professional Services, and Manufacturing, based on current listings on Migrate Mate as of September 2026. Chicago's position as a national hub for commodities trading, insurance underwriting, and hospital network operations creates sustained, year-round demand for ai data engineers who can build and maintain production-grade data infrastructure at scale.
See All 48 AI Data Engineer Jobs in Chicago
Find roles in Chicago that match your experience and apply in just a few clicks.
Find AI Data Engineer Jobs