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Headquartered in Los Angeles, Criteria Corp is a technology company dedicated to changing the way companies find and hire great talent. That's why we develop fair, objective and innovative assessment products to inform effective people decisions. Over 4,100 companies currently use our Criteria products and we are growing quickly. We apply that same dedication when it comes to hiring our own team. We owe our growth and success to a passionate team of iniduals working together to achieve a common goal.

The Senior Data Engineer is responsible for expanding and optimizing the functionality of our Data Services Platform by contributing to its architecture and development enabling Data Analysts and Data Scientists to operate more effectively.  The Senior Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. 

REQUIRED KNOWLEDGE/SKILLS/ABILITIES 

To be successful in this role the incumbent will demonstrate the following: 

• 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field 
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.  

• Passion for data, automation, analytics and understanding of new technologies and approaches to resolving problems at scale   
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.  
• Strong analytic skills related to working with unstructured datasets.  
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.  
• Deep understanding of SaaS applications. 

• Experience supporting and working with cross-functional teams in a dynamic environment.  
• Strong project management and organizational skills.  
• Working knowledge of modern object-oriented and functional programming languages. 

RESPONSIBILITIES 

The primary responsibilities of this role include:  

• Create and maintain optimal data pipeline architecture.  
• Assemble large, complex data sets that meet functional / non-functional business requirements.  
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.  

• Architect and develop scalable and efficient data analytics patterns that can be reused across common use-cases.  
• Bring new ideas from concept to implementation, write quality, testable code, and participate in design/development discussions.   
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data' 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 Executive, Product, and SaaS Platform teams to assist with data-related technical issues and support their data infrastructure needs.  

• Create tooling to enable Data Analysts and Data Scientists team members to effectively consume and utilize the platform you will be managing.  
• Thinking laterally to reduce operational costs and overheads of the platform.  
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions and working with internal auditing and compliance teams to ensure appropriate guard rails are in place.  
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.  
• Engage with internal and external stakeholders to gather requirements and opportunities to improve the Data Services Platform    

• Developing processes and guidelines that enable the delegation of control of aspects of the platform to technically proficient users. 
• Other leadership functions as required.

Team Leadership/Management  

• Actively lead and coach direct reports to ensure they are fully aware of and supported to execute work requirements. 
• Provide appropriate technical training and continuing professional development for all team members.