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At a glance
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Requirements
Credentials this posting asks for.
Job overview
Teradata is seeking a trainee to develop, test, and support software, data, cloud, and AI solutions. The role involves real-world projects with global clients and teams, analyzing requirements, and collaborating across functions. Depending on business needs, the trainee may support project and managed services engagements, including shift-based operations and 24x7 support. Training and hands-on experience provide opportunities to learn emerging technologies.
Skills & qualifications
Skills
Qualifications
Full job description
Our Company
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You'll Do
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Develop, test, and support software, data, cloud, and AI solutions.
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Work on real-world projects with global clients and teams.
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Analyze requirements and help build scalable technology solutions.
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Collaborate with cross-functional teams to deliver quality outcomes.
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Learn emerging technologies through training and hands-on experience.
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Work in a global delivery environment and, depending on business requirements, support project and managed services engagements, including shift-based operations and 24x7 support models
Who You'll Work With
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Software Engineers, Data Engineers, Cloud Architects, and AI Specialists.
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Project Managers, Business Analysts, and client stakeholders.
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Managed Services, Operations, and Support teams that help ensure the reliability, performance, and continuous improvement of enterprise applications and platforms.
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Cross-functional teams working across application development, cloud, data, analytics projects.
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Mentors and technical experts who will support your growth and learning journey.
What Makes You a Qualified Candidate
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B.E./B.Tech in Computer Science, Information Technology, Information Science, or related streams.
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Strong academic record with no active backlogs.
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Good understanding of programming fundamentals, data structures, databases, and problem-solving concepts.
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Familiarity with at least one programming language such as Python, Java, C++, or JavaScript.
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Basic knowledge of SQL and database concepts.
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Exposure to cloud, data analytics, AI/ML, or Generative AI through coursework, projects, certifications, internships, or self-learning is an advantage.
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Interest in emerging technologies such as Artificial Intelligence, Data Engineering, Cloud Computing, and Analytics.
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Strong analytical thinking and a structured approach to problem solving.
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Good communication and collaboration skills.
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Eagerness to learn, adapt, and work in a fast-paced team environment.
How this job compares
Set against the 8,420 open Software Engineering jobs on Olive Jobs, counted November 8, 2026.
- Pay
- This postingNot listed
- Missouri median$128–235K/yr90 salary ranges
- US median$33–43/hr466 hourly ranges
- Openings
- Olive Jobs lists 103 open Software Engineering jobs in Missouri and 8,420 across the US. 10% of them nationwide are listed as remote or flexible.
- Hiring the most in Missouri
- Oracle16 open
- PwC12 open
- Mastercard11 open
- Experience
- Software Engineering postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 5 to 10 years (6,438 postings).
- Education
- This posting asks for a bachelor's degree; 2,186 of the 8,420 open Software Engineering jobs (26%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 8, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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