Software Engineer (Data Engineering & Building APIs)

About Gartner IT:
Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.
About the role:
Gartner is seeking a talented and passionate Data Engineer to join our growing team. In this role, you will be responsible for building the foundational data and services our Products and Insights Teams. You will closely collaborate with Product Managers, Data Scientists and Cloud teams to expand the reach and accuracy of our Agentic and Search Solutions. You are someone who doesn't just write code but understands the "why" behind every architectural decision—from choosing the right storage engine to optimizing search indexing and scaling machine learning solution.
What you’ll do:
Design & Development: Build and maintain robust, scalable, and high-performance web services using Java or Python.
System Architecture: Apply deep knowledge of Data Structures, Algorithms, and Design Patterns to solve engineering challenges.
Data Engineering: Design and implement ETL/ELT pipelines and integrate ML Engineering workflows into production environments.
Search & Storage: Optimize data retrieval using OpenSearch or Elasticsearch and various SQL/NoSQL storage engines.
Collaboration: Act as a key contributor within an Agile/Scrum framework, collaborating with product managers and other engineers to deliver end to-end features.
What you’ll need:
Must have: 2–4 years of professional experience in the IT industry.
Core Engineering: Strong command of Data Structures and Algorithms (DSA) and SOLID design principles.
Backend Mastery: Proven experience developing production-scale, customer-facing web services (Python).
Data & ML: Practical experience with ETL/ELT processes and familiarity with Machine Learning Engineering (deploying and scaling models).
Storage: Proficiency across different storage engines (Relational, Document, or Key-Value).
Nice to have/opportunity to learn:
Experience with Machine Learning or Agentic Workflows or AI-driven automation.
Cloud expertise, specifically in AWS (Lambda, EC2, RDS, S3 etc.).
Hands-on experience with DevOps, CI/CD pipelines, and Infrastructure as Code.
Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.
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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.

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