Junior AI & Data Engineer – Analytics in Finance (Hybrid)

Socket.dev; Orlando (FL); Hybrid; USD 55,000 - 75,000; Full time

Benefits offered by this job

Medical, Dental, Vision, and 401(k)

Maternity & paternity leave, dependent

Tuition reimbursement & wellness

HSA & FSA options

Working Advantage discounts

Job summary

Capco is hiring a Junior AI / Data Engineering Analyst in Orlando, FL, offering a hybrid work arrangement. Join a growing Technology & Engineering practice and contribute to AI, data analytics, and cloud projects for financial services clients.

You will learn from engineers and data scientists, build data pipelines, and participate in cross-functional software development, testing, and deployment while developing practical skills in AI applications and analytics.

Qualifications

• Bachelor’s degree or upcoming graduation in a technical field (CS, Data Science, IS, Engineering, Math)
• Exposure to Python, SQL, Java, or JavaScript through coursework or projects
• Interest in AI, ML, data engineering, analytics, or cloud tech
• Strong analytical, communication, and collaboration skills
• Curiosity and willingness to learn new technologies in a team setting

Responsibilities

• Support development of AI, data, and analytics solutions for business and tech teams
• Build and maintain data pipelines, APIs, and cloud workflows
• Contribute to AI/ML initiatives including generative AI, automation, and predictive analytics
• Collaborate with agile, cross-functional teams on software dev, testing, deployment, and docs
• Work with structured and unstructured data to generate insights and improve processes

Skills

Programming languages

Analytical thinking

Communication

Collaboration

Curiosity & adaptability

Interest in AI/ML/cloud

Education

Bachelor’s degree in CS/Data Science/Engineering

Tools

AWS/Azure/Google Cloud

Git

Jupyter Notebooks

Tableau/Power BI

Spark/Databricks

Job description

Capco is hiring a Junior AI / Data Engineering Analyst in Orlando, FL, offering a hybrid work arrangement. Join a growing Technology & Engineering practice and contribute to AI, data analytics, and cloud projects for financial services clients.

You will learn from engineers and data scientists, build data pipelines, and participate in cross-functional software development, testing, and deployment while developing practical skills in AI applications and analytics.