Great Place To Work Jobs in Chicago, IL

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Looking for Great Place To Work jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Great Place To Work position in the Chicago, IL area.

Application Engineer (AbInitio)

Company: Discover

Location: Chicago, IL

Posted Jan 26, 2025

Discover is offering a job opportunity for an Engineer to join the Business Technology Finance Corporate Services Team. The role involves providing technical design and development leadership for applications that build ETL pipelines for transforming, aggregating, and loading financial data into warehouses for downstream reporting. The successful candidate will be involved in developing AbInitio ETL ExtractTransformLead applications, developing and maintaining data-driven solutions, and ensuring proper data governance policies are followed. The role requires excellent communication skills, the ability to understand business vision and translate it into technical artifacts, and oversight on design and implementation of products. The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, Informatics, Information Security, Information Technology, or a related field, and 3+ years of Information Technology Software Engineering or related experience. Knowledge of Amazon Web Services, Data Warehouse technology, and query languages for relational databases is a plus. Discover offers a competitive total compensation package, including benefits such as Paid Parental Leave, Paid Time Off, 401k Plan, Medical Dental Vision and Health Savings Account, STD Life LTD and AD&D, Recognition Program, Education Assistance, Commuter Benefits, Family Support Programs, and Employee Stock Purchase Plan.

Application Engineer(Splunk/Machine Learning)

Company: Discover

Location: Chicago, IL

Posted Jan 26, 2025

Discover offers a bright future with meaningful work from day one. The company values individuality and encourages growth. The role involves overseeing product design and implementation, analyzing and deploying new features, mentoring junior engineers, and contributing to technology communities. The position requires a Bachelor's degree in a relevant field, 3+ years of experience, and a technical proficiency rating of Competent on the Dreyfus Engineering scale. The base pay ranges from $89,000 to $150,200, with additional incentives. Discover is committed to diversity and inclusion, and offers a range of benefits.

Frequently Asked Questions

What are the typical salary ranges by seniority for Great Place To Work tech roles?
Entry‑level positions generally pay between $90,000 and $120,000 annually. Mid‑level engineers and data scientists earn $120,000 to $160,000, while senior experts and lead architects command $160,000 to $220,000, reflecting GPTW’s premium compensation practices.
What skills and certifications are required for Great Place To Work tech positions?
Core skills include proficiency in JavaScript, React, Node.js, Python, SQL, and cloud services like AWS or Azure. Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Certified Scrum Master enhance candidacy and are frequently listed in GPTW job descriptions.
Is remote work available for Great Place To Work roles?
Yes. Most GPTW companies offer hybrid or fully remote arrangements with flexible schedules, allowing employees to balance productivity with personal well‑being while maintaining collaboration across global teams.
What career progression paths exist within Great Place To Work tech teams?
Typical ladders progress from Junior Engineer → Mid‑Level Engineer → Senior Engineer → Lead/Principal Engineer → Engineering Manager → Director of Engineering, with clear milestones and mentorship programs that support upward mobility.
What industry trends are shaping Great Place To Work tech roles?
GPTW tech work is increasingly focused on AI/ML, serverless architectures, DevSecOps, and employee‑well‑being platforms. Companies prioritize continuous learning, cross‑functional collaboration, and data‑driven decision making to stay competitive.

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