Senior Data Engineer

Summary

Join Coupa as a Data Engineer and play a key role in designing, building, and maintaining the data infrastructure that powers our business. You will collaborate with cross-functional teams to develop data pipelines, transform raw data, and ensure data quality. Responsibilities include designing robust data architectures, creating data warehouses and lakes, and optimizing Spark clusters for efficiency. You will also build analytics tools, work with stakeholders on data-related issues, and ensure data security. Coupa offers a collaborative culture, pioneering technology, and the opportunity to make a global impact. The ideal candidate will have a strong background in data engineering, experience with various technologies, and a graduate degree in a quantitative field.

Requirements

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience with processing large workloads and complex code on Spark clusters
• Proven experience in setting up monitoring for Spark clusters and driving optimization based on insights and findings
• Experience in designing and implementing scalable Data Warehouse solutions to support analytical and reporting needs
• Experience with API development and design with REST or GraphQL experience building and optimizing ‘big data’ 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
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• 6-10 years of experience in a Data Engineer role
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
• Experience with object-oriented/object function scripting languages: Python, Java, Etc
• Expertise with Python
• Experience with big data tools: Spark, Kafka, etc
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Working knowledge of stream-processing systems: Storm, Spark-Streaming, etc

Responsibilities

• Create and maintain optimal data pipeline architecture
• Optimize Spark clusters for efficiency and performance by implementing robust monitoring systems to identify bottlenecks using data and metrics. Provide actionable recommendations for continuous improvement
• Optimize Spark clusters for efficiency and performance
• 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
• 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, 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
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data systems

Benefits

• Based in Bay Area, California: $142,000 - 167,000
• Based in California: $136,000 - 160,000
• Based in Colorado: $120,000 - 162,000
• Based in New Jersey: $136,000 - 160,000
• Based in New York: $136,000 - 160,000
• Based in Washington: $120,000 - 162,000