Senior Data Engineer

New York City

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Yext

Yext is the leading digital presence platform for multi-location brands, powering the knowledge behind every customer engagement.

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Yext (NYSE: YEXT) is building the next big thing in AI search, and the next big thing is answers.

With the explosion of information and data online, search has never been more important. However, while the world of consumer search has innovated over time, enterprise search has not. In fact, the majority of enterprise search is powered by outdated keyword technology that only scans for keywords and delivers a list of hyperlinks rather than actually answering questions. Yext, the AI Search Company, offers a modern, AI-powered Answers Platform that understands natural language so that when people ask questions about a business online they get direct answers – not links.

We have a big, audacious mission to transform the enterprise with AI search. To achieve that, we need bright minds and diverse perspectives to join our growing company and help us continue to disrupt an industry. Does this sound like you?

Our leading data management and integration organization is currently in need of a Senior Data Engineer passionate about analytics and data science. The Senior Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate has a deep curiosity and will uncover predictive insights using hypothesis driven exploratory analysis thru use of machine learning models. The Senior Data Engineer will support our data analysts and the business at large on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple business and technical teams, systems and products. Understanding of core business processes is a big plus i.e. order to cash, procure to pay, hire to retire to hire.  

The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.  

What You’ll Do 

  • Architect, create and maintain an optimal data architecture.  
  • Assemble large, complex data sets that meet functional / non-functional business requirements.  
  • Adept at creative and critical thinking, deconstruct problems and transform insights into data backed recommendations.   
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.  
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.  
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.  
  • Work with stakeholders including the Executives, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.  
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.  
  • Work with data and analytics experts to strive for greater functionality and machine learning capabilities in our data systems.   

What You Have 

  • Excellent communication skills and comfortable in both business and technical environments.  
  • 3-5 years of advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (3-5 years of experience).  
  • Experience building and optimizing big data pipelines, architectures and data sets.  
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.  
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.  
  • Experience with predictive modeling and machine learning.  
  • Strong project management and organizational skills.  
  • Bachelor’s degree or similar college level education in Computer Science, Statistics, Information Systems or another quantitative field.   
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.  
  • Experience with AWS cloud services:  
    • S3  
    • EMR  
  • Experience with cloud data warehouse Redshift or Snowflake. 
  • Experience with:  
    • Python  
    • Java  

#LI-CD1

Yext is committed to building an inclusive and diverse culture where every person is seen, heard and valued. We believe in equal employment opportunity and welcome employees and applicants of all races, colors, ethnicities, religions, creeds, national origins, ancestries, genetics, sexes, pregnancy or childbirth, sexual orientations, genders (including gender identity or nonbinary or nonconformity and/or status as a trans individual), ages, physical or mental disabilities, citizenships, marital, parental and/or familial status, past, current or prospective service in the uniformed services, or any characteristic protected under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Yext’s policy to provide reasonable accommodations to people with disabilities as required by 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Big Data Cassandra Computer Science Data management Data pipelines Machine Learning ML models NoSQL Pipelines PostgreSQL Predictive modeling Python RDBMS Redshift Snowflake SQL Statistics

Region: North America
Country: United States
Job stats:  1  0  0
Category: Engineering Jobs

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