INTL India -Data Integration and Evaluation Engineer

This engineer will partner closely with business teams, subject matter experts, and technology groups to understand complex operational and analytical challenges and implement AI-driven solutions. They will work heavily within large-scale databases, combining and reconfiguring multiple data sources into unified, normalized datasets that can be leveraged by AI agents and analytical platforms. The role will involve building and maintaining SQL- and Python-based data pipelines, automating reporting processes, improving data quality, and creating scalable solutions that reduce manual effort. The engineer will leverage Generative AI technologies, agentic workflows, and internal AI platforms to solve business problems, streamline operations, and deliver actionable insights. In addition to technical development, the individual will play a critical role in driving user adoption by partnering with stakeholders across the business, communicating effectively with leadership, security, and risk teams, and ensuring new tools are successfully deployed and utilized throughout the organization

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/.

• 5+ years of experience in Data Engineering, Software Engineering, Analytics Engineering, or a related technical field
• Advanced SQL skills with experience designing, optimizing, and maintaining large-scale databases
• Strong Python development experience
• Experience building and maintaining data pipelines and automated data processes
• Experience integrating, normalizing, and transforming data across multiple databases and data sources
• Hands-on experience with Generative AI, LLMs, agentic AI workflows, or AI-powered automation solutions
• Experience deploying production-grade applications, tools, or platforms
• Proven ability to solve complex business problems using technology and automation
• Strong communication and stakeholder management skills
• Comfortable working directly with business users to gather requirements, drive adoption, and provide ongoing support
• Ability to explain technical concepts to both business and technical audiences
• Experience generating reports, insights, and analytical outputs from large datasets
• Experience improving data quality, governance, and operational processes through automation
• Ability to work cross-functionally with engineering, business, security, governance, and risk teams - Experience within Energy, Oil & Gas, Refining, Commodities, or Trading environments
• Experience supporting Equities, Commodities, or Capital Markets data platforms
• Knowledge of Databricks, Postgres, Azure, or cloud-based data environments
• Experience with AI orchestration frameworks such as LangGraph or LangChain
• Experience with Retrieval Augmented Generation (RAG) solutions
• Familiarity with GitHub Copilot, Microsoft Copilot, or internally developed AI platforms
• Experience evaluating or testing AI-generated outputs and models
• Exposure to machine learning model deployment and production support
• Experience building automated reporting and monitoring solutions
• Knowledge of data governance, risk, security, and compliance requirements
• Experience mentoring users and driving adoption of new technical tools and platforms