What You’ll Do:
- Develop and maintain scalable data pipelines for batch and real-time data processing.
- Implement ETL/ELT processes to ensure efficient data ingestion, transformation, and storage.
- Optimize and monitor Spark clusters and distributed data processing workflows.
- Collaborate with senior engineers to design data architectures that support business and analytical needs.
- Ensure data quality, consistency, and reliability through validation and testing strategies.
- Assist in maintaining and optimizing cloud-based data infrastructure using AWS, Azure, or GCP.
- Support data warehouse and data lake initiatives, ensuring efficient storage and retrieval of structured and unstructured data.
- Automate and streamline data operations, improving performance and scalability.
- Work with cross-functional teams, including Data Science, Product, and Engineering, to support their data needs.
- Troubleshoot and resolve data-related issues, ensuring high availability and reliability of data services.
What you will bring to Coupa:
- Strong programming skills in Python.
- Strong 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 workloads and code on Spark clusters.
- Experience with Data Warehouse solutions to support analytical and reporting needs.
- 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.
- Knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Project management and organizational skills.
- Experience supporting and working with cross-functional teams.
- We are looking for a candidate with 4+ years of experience in a Software Engineer – Data role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools: Experience with object-oriented/object function scripting languages: Python, Java, C++, .net, etc. Expertise in Python is a must.
- Experience with big data tools: Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
What We Do
Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms, Coupa gives organizations the visibility and control they need to make better financial choices, reduce waste, and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people, partners, and the planet.
Why Work With Us
At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.
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Coupa Offices
Remote Workspace
Employees work remotely.
Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend













