Hands-On Experience Jobs in Chicago, IL

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Looking for Hands-On Experience jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Hands-On Experience 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 typical salary ranges for Hands‑On Experience roles by seniority?
Entry‑level technicians earn $50k‑$65k annually, mid‑level specialists earn $65k‑$90k, and senior or lead technicians and maintenance managers can command $90k‑$130k plus performance bonuses.
What skills and certifications are most valuable in Hands‑On Experience positions?
Core skills include CNC programming (G‑code), PLC ladder logic, ROS for robotics, sensor data analytics, and preventive maintenance. Certifications such as OSHA 10/30, Six Sigma GB, Certified Welding Inspector, NDT, and Certified Lab Technician are highly sought after.
Can Hands‑On Experience roles be performed remotely, and if so, which ones?
Purely field roles (CNC machinist, robotics technician, maintenance supervisor) require on‑site presence, but design‑support, simulation, and technical‑training positions can be remote or hybrid, often using remote monitoring tools like SCADA dashboards.
What career progression paths exist for Hands‑On Experience professionals?
Typical ladders move from Junior Technician → Senior Technician → Lead Technician/Field Engineer → Maintenance Supervisor → Plant Operations Manager. Advanced certifications and cross‑functional training can open doors to process engineering or industrial‑automation consulting.
What industry trends are shaping the future of Hands‑On Experience jobs?
Industry 4.0, additive manufacturing, IoT sensor networks, digital twins, and predictive‑maintenance analytics are increasing demand for technicians who can integrate software and hardware, while automation is pushing roles toward hybrid skills in data analysis and machine‑learning model tuning.

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