Data Engineer

Insight Global is looking for a Data Engineer to join a Fortune 500 FinTech company on-site in San Jose, CA.

The ideal candidate will have a strong background in AI/ML, NLP, or Conversational AI development, preferably within financial domains. This role involves managing a data platform that handles a large volume of financial data, collaborating with internal engineers to identify AI use cases, and assisting with open issues. You will be responsible for enabling the use of large language models (LLMs) internally, working with AI models to implement these use cases, and efficiently querying data to address gaps in financial data.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Required Skills & Experience

3+ years of experience in AI/ML, NLP, or Conversational AI development, preferably in financial domains. Proficiency in LLM architectures (GPT, Llama, Claude, etc.) and fine-tuning techniques. Strong background in Python, TensorFlow, PyTorch, Hugging Face, or similar AI frameworks. Experience working with financial datasets, regulatory reporting, or risk analytics. Hands-on experience with cloud platforms (AWS, Azure, GCP) for AI model deployment. Knowledge of financial domain-specific NLP techniques (e.g., entity recognition, sentiment analysis, text summarization). Experience with vector databases, embeddings, and RAG (Retrieval-Augmented Generation) frameworks is a plus. Understanding of data security, compliance (e.g., SOX, GDPR), and model interpretability in financial AI applications. Prior experience in financial automation, accounting AI tools, or fintech applications. Familiarity with LLM Ops, model monitoring, and bias mitigation in AI models.

Nice to Have Skills & Experience

FinTech experience

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.