Senior Data Engineer: Python & AWS for AI-Driven Data

Infosys; West Palm Beach (FL); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision Insurance

401(k) plan

Paid holidays

Paid Time Off

Disability Insurance

Job summary

Infosys is seeking a Technology Consultant 2 to contribute to requirements elicitation, design discussions, and coding for data and analytics projects. You will work with AWS services, Python, and SQL to build scalable software solutions, participate in QA, and assist with deployment and training across teams.

The role requires strong collaboration, end-to-end SDLC ownership, and the ability to translate complex requirements into actionable development tasks.

Qualifications

• Bachelor’s degree is required.
• This role may require relocation and/or travel to work/project location.
• US work authorization without employer sponsorship is preferred.

Responsibilities

• Contribute to requirements elicitation by documenting assigned parts of business requirements.
• Facilitate software design discussions and document design decisions for the technical team.
• Participate in coding and integrate new features into existing applications while maintaining stability.
• Conduct code reviews and manage code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes.
• Develop user training, documentation, and support frameworks for new software.
• Resolve production issues and propose preventive strategies to improve reliability.
• Maintain detailed records of code, testing techniques, and support activities.

Skills

AWS

Python

SQL

Pyspark

Education

Bachelor’s degree or foreign equivalent

Job description

Infosys is seeking a Technology Consultant 2 to contribute to requirements elicitation, design discussions, and coding for data and analytics projects. You will work with AWS services, Python, and SQL to build scalable software solutions, participate in QA, and assist with deployment and training across teams.

The role requires strong collaboration, end-to-end SDLC ownership, and the ability to translate complex requirements into actionable development tasks.