Software Engineer (Data Engineering & Building APIs) at Gartner

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

07 Oct, 26

Salary

0.0

Posted On

09 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, Data Structures, Algorithms, SOLID Design Principles, ETL/ELT, ML Engineering, OpenSearch, Elasticsearch, SQL, NoSQL, AWS, DevOps, CI/CD, Infrastructure as Code, Agile/Scrum

Industry

Information Services

Description

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. #LI-NS4 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? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:109966 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. At Gartner, we guide the leaders who shape the world. Over 13,000 client enterprises worldwide rely on Gartner for actionable, objective business and technology insights. Our teams of thinkers and doers know that staying curious is the best way to shape the future, for ourselves and our clients. Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Responsibilities

Design and develop scalable web services and ETL/ELT pipelines to support Agentic and Search solutions. Collaborate with Product Managers and Data Scientists to optimize data retrieval and scale machine learning workflows.