Top 158 Data engineer Jobs in Orland Park Il

Senior Data AI Engineer
CNA Insurance —Chicago, IL
- $72,000 - $141,000 a year
- Full-time
- Hybrid work
- Computer science
- 5 years
- Experience equivalent to degree accepted
Senior Data Engineer
Advantage Technical —Chicago, IL
- $55 - $64 an hour
- Temporary
- 6 years
- Computer Science
- Office
- Health savings account
- AD&D insurance
Quick Apply
Lead Data Science Engineer
Health Care Service Corporation —Chicago, IL
- $121,200 - $225,200 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Doctor of Philosophy
Data Migration Engineer
Applied Systems, Inc. —Chicago, IL
- $60,000 - $90,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
8d
Data Engineer
Zeno Group —Chicago, IL
- $150,000 - $200,000 a year
- Full-time
- Hybrid work
- 6 years
- Mid-level
- SQL
- Paid holidays
- Disability insurance
5d
Data Engineer
Green Thumb —Chicago, IL
- $95,000 - $115,000 a year
- On call
- Hybrid work
- Mid-level
- Office
- SQL
Quick Apply
Data Engineer
Inspire11 —Chicago, IL
- Up to $10,000 a month
- Full-time
- Computer science
- Computer Science
- Mid-level
- Paid jury duty
- Commuter assistance
ASSOCIATE, DATA ENGINEER
Cresset Capital —Chicago, IL
- $85,000 - $110,000 a year
- Computer Science
- Mid-level
- AWS
- Health savings account
- Disability insurance
Quick Apply
11d
Data Engineer
Narvee Technologies —Chicago, IL
- Email
- Computer Science
- Mid-level
- 3 years
Data Engineer
Caterpillar —Chicago, IL
- $97,530 - $158,480 a year
- Full-time
- Pass drug screening
- Mid-level
- Python
- Health savings account
- Paid holidays
12d
Data Solutions Engineer
Epsilon —Chicago, IL
- $73,500 - $136,500 a year
- Email
- Hybrid work
- Computer Science
- System design
- Mid-level
- Commuter assistance
- Paid holidays
Data Engineer
Contact Government Services, LLC —Chicago, IL
- $112,597.33 - $152,810.66 a year
- Full-time
- Hybrid work
- 7 years
- SQL
- IT
- Health insurance
- Dental insurance
Quick Apply
Senior Data Engineer
Epsilon —Chicago, IL
- $88,900 - $165,100 a year
- Email
- Hybrid work
- Computer science
- 6 years
- Computer Science
- Commuter assistance
- Paid holidays
AI & Data Systems Engineer (Remote)
Ceribell, Inc —Chicago, IL
- $141,000 - $173,000 a year
- Email
- Remote
- Azure
- Computer Science
- Salesforce
- Employee stock purchase plan
- Paid holidays
Quick Apply
Data Operations Engineer Associate
Huron Consulting Services LLC —Chicago, IL
- $100,000 - $171,100 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Dental insurance
- Vision insurance
Quick Apply
Data Engineer
Cushman & Wakefield —Chicago, IL
- $114,750 - $135,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Health savings account
- Disability insurance
Quick Apply
11d
DATA ENGINEER
IMC Financial Markets —Chicago, IL
- $175,000 - $225,000 a year
- Full-time
- Java
- SQL
- Analysis skills
10d
Senior Data Engineer
Hopscotch Primary Care —Chicago, IL
- $150,000 - $190,000 a year
- Remote
- Azure
- Computer Science
- Writing skills
- Health savings account
- Paid holidays
Quick Apply
Senior AI Data Engineer
Scorpion Enterprises, LLC —Chicago, IL
- $155,000 - $185,000 a year
- Remote
- 7 years
- Computer Science
- Analysis skills
- Paid parental leave
- Health insurance
Data Platform Engineer
Walker Consultants —Chicago, IL
- $85,000 - $120,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- SQL
- Paid parental leave
- Health savings account
Quick Apply
5d

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data engineer jobs near orland park il

Senior Data AI Engineer

CNA Insurance -
Chicago, IL

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Job Details

Full-time
$72,000 - $141,000 a year

Qualifications

Computer science
5 years
Senior level
Communication skills

Full Job Description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

Senior Data/AI Engineer is an individual contributor role responsible for designing, building, and modernizing production-grade data pipelines and data solutions across hybrid cloud and on-premise environments. The role applies expertise in AI-assisted development tools, strong engineering judgment, and modern data engineering practices to integrate structured, semi-structured, and unstructured data across complex enterprise ecosystems, leveraging both legacy platforms and cloud-native technologies to deliver scalable, secure, resilient, and high-quality solutions that improve speed to delivery, operational reliability, and business value.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

Serves as a key team member who delivers results and creates value for the CNA brand, customers, and internal stakeholders, while collaborating effectively with external and offshore resources as needed.

Demonstrate hands-on experience using AI-assisted development tools to accelerate engineering tasks such as pipeline creation, code generation, testing, and troubleshooting

Apply strong engineering judgment when working with AI-generated outputs, ensuring alignment with enterprise standards for quality, security, and data handling

Design and build data pipelines that support multi-modal data, including structured, semi-structured, and unstructured sources (e.g., transactional data, documents, and external data feeds)

Build and modernize data pipelines across hybrid environments (on-premise and cloud), incorporating automation, observability, and resiliency by design

Designs, builds, and enhances large-scale data processing systems and data lakes on Google Cloud Platform, optimizing for computational and storage efficiency while applying strong expertise in data modeling and engineering best practices.

Operate effectively in complex, multi-entity and multi-national system landscapes, integrating internal platforms and external data providers

Bring familiarity with both legacy enterprise data tools (e.g., ETL/ELT platforms, relational databases) and modern cloud-native data and integration services

This role is not focused on experimentation alone — it is focused on applying AI in a disciplined, production-grade engineering environment to drive measurable improvements in delivery speed, quality, and operational reliability

May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems.

May lead or sub-lead the creation of integrated data views based on business or analytics requirements.

May lead or sub-lead robust unit testing to ensure deliverables match the design and provide expertise to support subsequent release testing.

Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.

Research, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.

May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.

Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

Strong knowledge of data architecture, relational and NoSQL database concepts, ETL/ELT patterns, dimensional modeling, metadata, and data quality frameworks for enterprise-scale data solutions.

Strong experience designing and building scalable data integration and pipeline solutions with a focus on accuracy, observability, resiliency, performance optimization, and ease of consumption.

Proficiency in Python and advanced SQL for large-scale, complex datasets, with hands-on experience using AI-assisted development tools to accelerate coding, testing, troubleshooting, and engineering productivity.

Strong communication, collaboration, and stakeholder engagement skills, with the ability to apply sound engineering judgment and work effectively across highly matrixed, cross-functional, and global teams.

Preferred experience building data and analytics solutions on Google Cloud Platform, including services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer, or equivalent cloud-native data technologies.

Preferred experience in insurance and financial services, including familiarity with regulatory, risk, underwriting, claims, customer, and operational data domains.

Experience with big data and distributed processing technologies, hybrid cloud and on-premise environments, and modern engineering practices including automation, testing, CI/CD, and secure data handling.

Working knowledge of business intelligence, reporting, and analytics enablement tools, with an understanding of data governance, lineage, monitoring, and controls needed to support trusted, production-grade data products.

Education & Experience

Bachelor’s degree with Master’s preferred in Computer Science, Information Technology, related discipline or equivalent work experience.

Typically 5+ years of experience in data, analytics or application development.

2+ years of coding proficiency in at least one programming language (Python, Java, SQL).

Experience using Agile methods preferred.

Applicable certifications preferred (GCP, Data Engineering).

#LI-KJ1 #LI-HYBRID

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees – and their family members – achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA’s benefits, please visit cnabenefits.com.

CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [email protected]

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Refine Your Search

data engineer jobs in orland park il

Senior Data AI Engineer

Senior Data Engineer

Lead Data Science Engineer

Data Migration Engineer

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Data Engineer

ASSOCIATE, DATA ENGINEER

Data Engineer

Data Engineer

Data Solutions Engineer

Data Engineer

Senior Data Engineer

AI & Data Systems Engineer (Remote)

Data Operations Engineer Associate

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