Challenging Opportunities For You To Learn And Grow Professionally Jobs in Chicago, IL

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the Chicago, IL area.

C# Engineer

Company: BlackRock Investments

Location: Chicago, IL

Posted Aug 06, 2025

Participate in cross-functional feature requirements gathering, design, and implementation. You will collaborate with experienced engineers to develop and…

Global Practice Architect, Infrastructure III, Google Cloud

Company: Google

Location: Chicago, IL

Posted Aug 06, 2025

You will orchestrate across numerous contributing teams including solutions, services, partners, product engineering, marketing, and GTM stakeholder…

Pre-Certification & Call Center Representative

Company: VitalSkin Dermatology

Location: Chicago, IL

Posted Aug 06, 2025

You are able to perform all aspects of a call center: manage a high volume of incoming calls in a small, centralized call center; obtain information from the…

Senior Consultant 1, Analytics, Insights, Report, A&T - DA Analytics

Company: Deloitte

Location: Chicago, IL

Posted Aug 06, 2025

Supervise day to day operations, set up processes for delivery including technical/functional documentation, scope of work, resource planning, design,…

Python Developer

Company: BlackRock Investments

Location: Chicago, IL

Posted Aug 06, 2025

Participate in cross-functional feature requirements gathering, design, and implementation. You will collaborate with experienced engineers to develop and…

Data Scientist II, Condition Monitoring

Company: Caterpillar

Location: Chicago, IL

Posted Aug 06, 2025

In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field. Programming Languages: Working knowledge of basic…

Project Manager II

Company: Gilbane Building Company

Location: Chicago, IL

Posted Aug 06, 2025

Participates in enrollment for insurance and bonds; tracks and obtains trade contractors’ compliance. Strong technical and communication skills are critical.

Dump Truck Driver

Company: Hana Transport Inc.

Location: Chicago, IL

Posted Aug 06, 2025

Valid commercial driver's license (CDL A) with, 3+ years experience in dump/must have a clean CDL License with no more than 2 tickets in the past 3-years.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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