Specialist, Data Engineer (Pyhton, SQL, Databricks, AI/LLM/Agentic AI)

About this role

As a Specialist in the Tech Market Economics Data Engineering team, you will join a rapidly growing team in builder mode, where curiosity, initiative and engineering excellence help shape Gartner's next generation of analytical platforms. Working alongside technical leaders and architects, you will help build, develop, and operate the data pipelines and services that power Gartner's quantitative research capabilities.

This is a critical role in scaling analytical and AI-enabled capabilities from concept to production while helping reimagine Gartner's data, analytics and market intelligence ecosystem. Few roles provide comparable exposure to Gartner's research, data, forecasting, market intelligence and AI initiatives, creating exceptional opportunities for learning, growth and career development.

Working at the intersection of data engineering, analytics, AI and research, you will help transform innovative ideas into scalable, production-grade capabilities leveraged across Gartner Research and Advisory.

What you will do

• Develop, test, and deploy production-grade, scalable data pipelines and AI-ready data products, translating prototype models into enterprise-scale solutions following best practices for reusable code design.
• Partner with Product, Data Science, Economic Modelling and Research teams to productionize emerging capabilities and ensure they can be adopted reliably at scale.
• Integrate data across a wide range of internal and external sources, including databases, APIs, analytical platforms and third-party systems.
• Implement automated data quality frameworks, validation processes, and controls to ensure consistent, trusted, decision-grade data for analytics, AI, and research applications.
• Operate and continuously improve production data platforms, identifying bottlenecks, improving resilience and expanding automation opportunities.
• Establish and promote data standards, metadata practices, naming conventions and data classification frameworks.
• Design engineering solutions that balance support for critical analytical platforms with the reimagination of Gartner's future data, analytics and AI ecosystem.
• Work with researchers, economists and data scientists to contextualize, visualize and communicate data in ways that improve understanding, decision-making and research impact.

What you will need

• Education : Master's degree in Computer Science, Data Science, Statistics, Software Engineering, Information Systems, or a related quantitative discipline.
• Experience : 0-2 years of professional experience in data engineering, data management, analytics, software engineering, or related disciplines involving data integration, transformation and quality.
• Business Translation : Ability to collaborate across technical and non-technical teams, translating business problems into scalable data and analytical solutions while helping uncover and contextualize insights from data.
• Platform Experience : Experience building, maintaining or supporting data platforms, databases, pipelines or analytical systems using data from multiple sources.
• Engineering Best Practices : Understanding of software engineering best practices including testing, code quality, documentation, version control and the design of reusable components.
• Quality & Governance : Strong understanding of data quality, data governance and scalable engineering practices.
• Programming : Strong Python programming skills and experience developing data pipelines, analytical workflows or automation solutions.
• Technology Stack : Experience using one or more of the following:
• SQL and modern data engineering technologies
• ETL/ELT tools for data integration and workflow automation
• APIs, web scraping technologies and data extraction tools
• Cloud, analytics or AI-enabled data platforms (e.g., Databricks, Snowflake or similar)

Who you are

• Data-driven and analytically curious, with a genuine passion for data, AI technologies, and the role they play in creating scalable business value. Eager to explore patterns, signals, and opportunities that improve research and decision-making while continuously learning new approaches.
• Thrives in a fast-moving, high-growth environment, balancing multiple priorities while proactively solving problems and driving outcomes.
• Strong problem solver with excellent attention to detail and the ability to translate complex technical challenges into practical, robust production capabilities.
• Effective communicator capable of translating technical concepts and business problems into scalable analytical solutions for business, research, and analytical audiences.
• A collaborative builder who enjoys working across disciplines, contributing to team culture and turning ideas into scalable capabilities.
• Adaptable, resourceful, and comfortable navigating evolving requirements and fast-paced environments as new opportunities and technologies emerge.

What you will get

• Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
• Collaborative, team-oriented culture that embraces diversity
• Professional development and unlimited growth opportunities

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Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

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