Information Technology (IT) jobs in Salt Lake County, UT
• The average pay for Information Technology jobs in Salt Lake County, UT is $66K per year.
• Entry-level positions start at $24 per year, while the most experienced workers can earn up to $130K per year.
• 2 companies are currently advertising Information Technology jobs in Salt Lake County, UT including and .
• Top skills include ANALYTICAL SKILLS, EXCELLENT COMMUNICATION SKILLS, COMMUNICATION SKILLS, HTML and C#.
• Entry-level positions start at $24 per year, while the most experienced workers can earn up to $130K per year.
• 2 companies are currently advertising Information Technology jobs in Salt Lake County, UT including and .
• Top skills include ANALYTICAL SKILLS, EXCELLENT COMMUNICATION SKILLS, COMMUNICATION SKILLS, HTML and C#.
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Posted 1d ago
Full time
·
Permanent
Similar jobs pay
~$90k - $120k
Pay information not disclosed by advertiser
Key points we found
- Join the Cloud Engineering team as a Software Engineer II.
- Design, build, and maintain cloud infrastructure on AWS using Infrastructure-as-Code.
- Collaborate with senior engineers to enhance cloud-native platforms.
Posted 26d ago
Full time
·
Permanent
Similar jobs pay
~$120k - $150k
Pay information not disclosed by advertiser
Key points we found
- Design, build, and deliver Open Finance solutions for Mastercard''s data products.
- Collaborate with designers, product managers, and architects across the technology stack.
- Mentor and guide less-experienced team members while driving technology standards.
Posted 13d ago
Full time
·
Permanent
Similar jobs pay
~$150k - $200k
Pay information not disclosed by advertiser
Key points we found
- Support the Chief Executive Office in designing and executing the overall strategy for Nuton.
- Facilitate cross-functional collaboration and manage stakeholder relationships.
- Lead Nuton’s corporate relations strategy and communication efforts.
Expiring in 4d
Full time
·
Permanent
Similar jobs pay
~$130k - $160k
Pay information not disclosed by advertiser
Key points we found
- Lead and mentor the data science team to develop production-grade services.
- Design and implement machine learning models for financial applications.
- Present technical findings to business leaders and clients clearly.