Data Engineer at Yext

Yext (NYSE: YEXT) is the leading brand visibility platform, built for a world where discovery and engagement happen everywhere — across AI search, traditional search, social media, websites, and direct communications. Powered by over 2 billion trusted data points and a suite of integrated products, Yext provides brands the clarity, control, and confidence to perform across digital channels. From real-time insights to AI-driven recommendations and execution at scale, Yext turns a brand's digital presence into a competitive advantage, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we are consistently recognized as a ‘Best Place to Work’ globally by industry leaders such as Built In, Fortune, and Great Place To Work®! We are looking for a Data Engineer to join our data management and integration team. This role will focus on building and optimizing scalable data pipelines, improving data flow, and supporting cross-functional analytics initiatives. The ideal candidate is analytical, curious, and experienced in working with large datasets, with the ability to derive insights using exploratory analysis and machine learning techniques. You will partner with data analysts and business teams to ensure reliable, efficient, and scalable data delivery across projects. This is a hands-on role requiring a self-driven individual who can support multiple systems, teams, and data needs in a fast-paced environment. What You'll Do • Own and contribute to the end-to-end data engineering lifecycle, including requirements gathering, data modeling, pipeline design, development, testing, deployment, and maintenance. • Design, build, and optimize scalable ETL/ELT pipelines using Matillion DPC (Data Productivity Cloud), dbt, and cloud-native platforms like Snowflake and AWS. • Experience working with AWS cloud infrastructure leveraging services such as S3, Lambda, Glue where applicable. • Develop and manage transformations using dbt, following modular, testable, and version-controlled practices. • Leverage Snowflake Cortex capabilities for advanced analytics, AI-driven insights, and data enrichment use cases. • Collaborate with business stakeholders, analysts, and cross-functional teams to understand data requirements and resolve data quality issues. • Develop and maintain robust SQL transformations and Python-based data processing for complex workflows and automation. • Ensure data quality, integrity, and reliability through validation, monitoring, and troubleshooting. • Create and maintain clear technical documentation to support maintainability and knowledge sharing across the team. • Identify and implement improvements to data processes, pipeline performance, and operational efficiency. • Stay current with industry trends and incorporate best practices from the data engineering and modern data stack communities. What You'll Have • 3–5 years of experience in Data Engineering, ETL/ELT development, or Data Warehousing. • Strong hands-on experience with Matillion DPC or similar ETL tools (Informatica, Talend, Pentaho, etc.). • Experience working with AWS data services, including S3, Glue, Lambda. • Strong experience with Snowflake, including performance optimization and data modeling. • Experience with dbt (data build tool) for transformation, testing, and deployment workflows. • Proficiency in SQL with experience writing complex, optimized queries. • Working knowledge of Python for data processing, scripting, and automation. • Familiarity with Snowflake Cortex or similar AI/ML-powered data capabilities is a plus. • Solid understanding of data warehousing concepts including: • Change Data Capture (CDC) • Slowly Changing Dimensions (SCD) • Data modeling (star/snowflake schemas) • Experience with version control (Git) and ticketing systems such as JIRA or Zendesk. • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). Bonus Points • Matillion DPC certification (e.g., Building a Data Warehouse with Matillion). • Experience with orchestration tools (e.g., Airflow). • Exposure to CI/CD pipelines for data workflows. • Experience working with modern data stack tools and frameworks. • Familiarity with infrastructure-as-code (Terraform/CloudFormation) in AWS environments. Perks and Benefits At Yext, we take pride in our diverse workforce and prioritize creating an engaged and connected working environment. Our ambitious mission is to transform the enterprise with AI search, and we know that to achieve that, we need a global team of innovators, visionary thought leaders, and enthusiastic collaborators passionate about making a meaningful impact in the world and contributing to an extraordinary culture. We believe that people do their best when they feel their best — and to feel their best, they must be well-informed, fuelled, and rested. To ensure our employees are at their best, we offer a wide range of benefits and perks, including: • Performance-Based Compensation: We offer an attractive bonus structure and stock options for eligible positions. • Comprehensive Leave Package: Our leave package includes Paid Time Off (PTO), Parental Leave, Sick Leave, Casual Leave, Bereavement Leave, National Holidays, and Floating Holidays to ensure a healthy work-life balance. • Health & Wellness Offerings: We provide medical insurance with 7L coverage, including enhanced parental and outpatient department (OPD) coverage for you, your spouse, two dependent children, and two parents (as applicable and subject to eligibility requirements). • Relocation Benefits: We offer relocation assistance and an allowance to eligible candidates to help ease your transition. • World-Class Office & Building Amenities: Our office has a top-notch infrastructure, including gaming rooms, a plush pantry, and breakout areas. #LI-RK1 #LI-Onsite Yext is an equal opportunity employer committed to building a results-driven, engaging culture where every employee has the opportunity to contribute to the success of the Company, perform at the highest possible level, and grow their skills and capabilities. Yext welcomes employees and applicants of all backgrounds and demographics, and does not engage in discrimination on the basis of any protected characteristic recognized under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The Company believes a broad variety of life experiences across the Yext team is critical to its mission to help every business in the world be visible everywhere customers search. By seeking out fresh perspectives and fostering a positive interview experience and employee experience, Yext can remain at the forefront of innovation, and better serve its customers. It is Yext’s policy to provide reasonable accommodations to people with disabilities as required by applicable law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form. 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