Competitive Pay Jobs in Chicago, IL

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Looking for Competitive Pay jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Competitive Pay position in the Chicago, IL area.

Data Quality Analyst

Company: Press Ganey

Location: Chicago, IL

Posted Feb 02, 2025

PG Forsta is a leading experience measurement data analytics and insights provider, serving clients globally across various industries. The company emphasizes the importance of Human Experience and has a mission to empower organizations to deliver the best experiences. The Analytics Data Quality Analyst role is critical for maintaining data integrity, enforcing data quality standards, and ensuring compliance with regulatory requirements. The ideal candidate should have 5+ years of experience in data quality management, strong knowledge of healthcare data structures, and proficiency in SQL and data quality tools.

Senior Applied Machine Learning Scientist- AI Agents

Company: Grainger

Location: Chicago, IL

Posted Feb 02, 2025

Grainger, a leading industrial distributor, is seeking a Senior Applied ML Scientist to drive cutting-edge generative AI solutions. The role involves building and maintaining Agentic processes, working closely with other ML scientists, engineers, and product managers, and designing robust data pipelines. The company offers competitive compensation, comprehensive benefits, and a commitment to equal employment opportunity. The position is part of Grainger's Product Discovery team, which aims to enable customers to find what they need when they need it.

Data Visualization Designer

Company: Press Ganey

Location: Chicago, IL

Posted Feb 02, 2025

PG Forsta is a leading experience measurement data analytics and insights provider, serving clients globally across various industries. The company empowers organizations to deliver the best experiences by turning data into insights that drive innovation and action. Their mission is to put Human Experience at the heart of organizations. The Data Visualization Designer role involves designing and enforcing common standards for data infographics and visualizations, collaborating with analysts and data scientists, and maintaining a data visualization style guide. The ideal candidate should have a Bachelor's degree in Data Visualization, Graphic Design, Data Science, Journalism, or a related field, with at least 3+ years of experience in data visualization, information design, or data journalism. They should be proficient in data visualization tools such as Tableau, Power BI, and D3.js, and have excellent communication skills.

Frequently Asked Questions

What are typical salary ranges for Competitive Pay roles at different seniority levels?
Junior (0‑2 years) $90k‑$120k, Mid‑level (3‑5 years) $120k‑$160k, Senior (6‑10 years) $160k‑$220k, Lead (10+ years) $220k‑$280k, Principal/Architect $280k‑$350k, and VP/CTO $350k‑$500k+. Regional premiums apply in tech hubs like SF, NYC, and Austin.
What skills and certifications are most valuable for Competitive Pay roles?
Proficiency in Python, Java, or Go; deep knowledge of TensorFlow, PyTorch, or Scikit‑learn for ML; Terraform, Kubernetes, Docker for Cloud; CI/CD tools such as Jenkins or GitLab; security frameworks like Zero‑Trust and tools like Splunk. Certifications: AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, Certified Ethical Hacker, TensorFlow Developer Certificate, and PMP for project leadership.
Can I work remotely in Competitive Pay positions?
Yes—over 70% of Competitive Pay roles offer full remote or hybrid options. Many companies provide remote‑first policies for software, data, and security roles, while on‑site requirements are rare for Cloud Architecture and DevOps positions that need on‑prem integration. Check the location field in each listing for remote flags.
What career paths can I expect after starting in Competitive Pay roles?
Typical progression goes: Junior Engineer → Mid‑level Engineer → Senior Engineer → Tech Lead → Principal Engineer/Architect → VP/CTO. Each step adds leadership, architecture design, and strategic responsibilities. Lateral moves into product management or data science leadership are also common for high‑pay professionals.
What industry trends are shaping Competitive Pay roles?
Fast‑moving AI/ML model deployment, multi‑cloud strategies, edge AI, data privacy regulations (GDPR, CCPA), DevSecOps integration, and AI‑driven automation of security and ops. Companies reward professionals who can architect hybrid cloud, implement MLOps pipelines, and secure data pipelines with zero‑trust principles.

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