AI Data Engineer

FDM Group

$90K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in data engineering, software engineering, or full stack development
  • Strong programming skills in Java or Python
  • Experience in building data pipelines or backend services
  • Exposure to AI/ML concepts
  • Familiarity with cloud platforms (AWS, Azure, GCP)

Responsibilities

  • Design and develop scalable data pipelines for AI/ML initiatives
  • Build and enhance full stack applications with modern frameworks
  • Collaborate with teams to translate business requirements into technical solutions
  • Integrate data systems and APIs for analytics and model-driven use cases
  • Optimize data workflows for performance and reliability
  • Contribute to the development of AI products and data platforms

Benefits

  • Hybrid work model with 3 days in office
  • Opportunity for involvement in a long-term project (initially 24 months)
  • A chance to work on AI-driven initiatives in the financial sector
Full Job Description
Über die Rolle

This position requires the successful candidate to work on a W2 directly with FDM. We cannot accept C2C, 1099 or employment sponsorship (e.g. H1-B) for this position.

FDM is seeking a AI Data Engineer located in Princetonto support a project in the financialsector. Involvement in this project is anticipated to last initially 24 monthsbut may be extended.

This role will be hybrid with requirements to be in office 3 days per week.

Das bringst du mit

AI Data Engineer (Full Stack / Data Engineering Focus)

Overview:
Seeking an AI Data Engineer to design, build, and scale data and application solutions supporting AI-driven initiatives. This role will sit at the intersection of data engineering and full stack development, with a focus on enabling advanced analytics, AI use cases, and modern data platforms.

Key Responsibilities:

  • Design and develop scalable data pipelines and backend services to support AI/ML initiatives
  • Build and enhance full stack applications leveraging modern frameworks and cloud technologies
  • Collaborate with business, data, and AI teams to translate requirements into technical solutions
  • Integrate data systems and APIs to support analytics and model-driven use cases
  • Optimize data workflows, performance, and system reliability
  • Contribute to the development of AI-enabled products and data platforms

Required Experience:

  • 3+ years of experience in data engineering, software engineering, or full stack development
  • Strong programming skills in Java or Python
  • Experience building data pipelines, backend services, or full stack applications
  • Exposure to AI/ML concepts or working alongside AI-driven initiatives
  • Experience with cloud platforms (AWS, Azure, or GCP)

Preferred:

  • Experience with modern frameworks (e.g., React, Node.js)
  • Familiarity with big data tools (e.g., Spark, Databricks)
  • Understanding of APIs, microservices architecture, and CI/CD pipelines
  • Financial services or large enterprise experience


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