Junior AI / Data Engineering Analyst

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

Junior AI / Data Engineering Analyst

Junior AI / Data Engineering Analyst

Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Launch your career in AI, Data Engineering, and Analytics while working on innovative solutions for leading financial services organizations.

The Role

We are seeking motivated early-career talent interested in building careers in Artificial Intelligence, Data Science, and Data Engineering to join our growing Technology & Engineering practice. This role is designed for candidates who are eager to learn, experiment with emerging technologies, and contribute to real-world data and AI initiatives within financial services.

You’ll work alongside experienced engineers, data scientists, and technical leaders while gaining hands-on exposure to AI applications, data platforms, analytics, and modern software development practices.

What You’ll Do

• Support the development of AI, data, and analytics solutions for business and technology teams
• Assist with building and maintaining data pipelines, APIs, and cloud-based workflows
• Contribute to AI and machine learning initiatives involving generative AI, automation, and predictive analytics
• Collaborate with agile, cross-functional teams on software development, testing, deployment, and technical documentation
• Work with structured and unstructured datasets to generate insights and improve business processes

What We’re Looking For

• Bachelor’s degree (or upcoming graduation) in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field
• Exposure to programming languages such as Python, SQL, Java, or JavaScript through coursework, internships, bootcamps, or personal projects
• Interest in AI, machine learning, data engineering, analytics, or cloud technologies
• Strong analytical thinking, problem-solving, communication, and collaboration skills
• Demonstrated curiosity, adaptability, and willingness to learn new technologies in a team-oriented environment

Bonus Points For

• Internship, academic, or personal project experience involving AI, analytics, or data engineering
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with machine learning concepts, ETL pipelines, dashboards, or data visualization tools
• Experience using Git, Jupyter Notebooks, Tableau, Power BI, Spark, Databricks, or similar technologies
• Awareness of generative AI, LLMs, prompt engineering, or AI development frameworks

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

Benefits

• Medical, Dental, Vision, and 401(k) match
• Maternity and paternity leave, dependent care support, and commuter benefits
• Tuition reimbursement and wellness reimbursement programs
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options
• Access to Working Advantage employee discount marketplace

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

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