Demo

Data Intelligence Engineer

Motion Recruitment Partners, LLC
Charlotte, NC Full Time
POSTED ON 4/1/2025
AVAILABLE BEFORE 6/1/2025

Job Details

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Data Intelligence Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 18 Months

Required Skills & Experience
  • 5 years in Data Engineering, Analytics, or AI-focused roles
  • Experience with process mining tools (Celonis, UiPath Process Mining, etc.)
  • Proven experience with cloud-based data pipelines, preferably Google Cloud Platform (BigQuery, Dataflow) or equivalent.
  • Solid understanding of SQL, Python, and data transformation tools
  • Exposure to or hands-on work with Generative AI, LLMs (like Llama, Google Gemini, OpenAI etc.), or vector databases (e.g., Pinecone, FAISS).
  • Experience working on cross-functional process improvement initiatives using data.
  • Strong business acumen and ability to translate data into decisions.
Desired Skills & Experience
  • Knowledge of RAG architectures and enterprise chatbots.
  • Familiarity with Agentic AI solutions or frameworks.

What You Will Be Doing
  • Data Intelligence Engineer who bridges data engineering with Generative AI to drive operational excellence.
  • Data Engineering & Intelligence (50%)
  • Design and implement scalable data pipelines and ETL processes across structured and unstructured data sources.
  • Integrate data from various Enterprise SORs and workflow tools to create process-level visibility.
  • Build and maintain data models, warehouses, and lakes for analysis and reporting.
  • Collaborate with analysts and business teams to develop dashboards and real-time metrics.
  • Use SQL, Python, Vertica SQL to ensure data quality and lineage.
  • Gen AI & Advanced Analytics (50%)
  • Customize GenAI applications (using approved LLMs) for process mining, task mining summarization, anomaly detection.
  • Integrate organization-approved foundation models (like Llama, Google Gemini etc.) into Agentic task-based workflows.
  • Partner with Process Excellence and Ops teams to ideate
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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