Data Engineer – AI Data Intelligence Platform (Contract, US-Based)

About the Role

Join Gartner as a Data Engineer supporting our Data Intelligence Platform. Drive innovation by developing scalable data models, building advanced data pipelines, and partnering with cross-functional teams to deliver intelligence-driven solutions. This hands-on role offers exposure to the latest AWS cloud technologies, personalized recommendation engines, and impactful data science initiatives.

Responsibilities

• Architect, design, and implement high-performance, scalable data solutions tailored to business needs
• Build, optimize, and automate ETL pipelines and data applications for advanced analytics and reporting
• Create and refine data models from scratch using advanced SQL techniques
• Integrate structured and unstructured data from diverse internal and external sources via APIs and harvesting tools
• Ensure optimal database performance, security, and availability, including upgrades, backups, and migrations
• Collaborate with business units and data science teams to translate requirements into actionable data solutions
• Manage and enhance AWS resources (EMR, ECS, Glue, Kinesis) for efficient application deployment
• Support automation using Infrastructure as Code (Terraform) and CI/CD tools (Jenkins)
• Champion best practices in data governance, access control, and cloud technology adoption
• Troubleshoot and resolve database and application performance issues

Required Skills and Experience

• 7-9 years’ experience designing and developing cloud-based data models and ETL pipelines
• Advanced proficiency in SQL and modern relational databases
• Strong experience with Spark, AWS Glue, EMR, and data streaming tools (Kafka, Kinesis)
• Hands-on expertise with version control (Git, Subversion) and CI/CD systems
• Proficient in Java, Python, and Scala
• Solid knowledge of data structures, algorithms, and database optimization
• Demonstrated experience with database configuration, cluster orchestration, and troubleshooting

Preferred Skills

• Experience in deploying personalization and recommendation systems
• Familiarity with advanced search technologies and data harvesting
• Knowledge of Infrastructure as Code with Terraform
• Exposure to data governance frameworks in large-scale environments

Benefits

• Work with cutting-edge cloud technologies and data science tools
• Collaborate with talented teams in a dynamic, innovative environment
• Opportunities for professional development and technical skill growth
• Flexible contract role with competitive compensation

How to Apply

Ready to elevate your career and make an impact at Gartner? Submit your resume and a brief cover letter outlining your relevant experience. We look forward to connecting with data engineering innovators!