What You’ll Do
- Build data ingestion pipelines to extract and transform enterprise data.
- Implement data cleansing and normalization routines.
- Write and maintain ETL jobs using Spark/PySpark on cloud infrastructure.
- Implement data validation and quality checks at each pipeline stage.
- Build automated data export jobs for model training datasets.
- Support feature extraction from enterprise schemas.
- Monitor pipeline health, troubleshoot failures, and optimize performance.
- Document data lineage, schemas, and transformation logic.
What You Will Bring to Coupa
- 3+ years of software engineering experience.
- Experience with Python and data processing (pandas, PySpark, or equivalent).
- Familiarity with SQL and relational databases (MySQL, PostgreSQL).
- Experience with cloud data services (object storage, managed Spark, managed ETL, or equivalent).
- Understanding of ETL/ELT patterns and data pipeline design.
- Experience with data formats (Parquet, JSON, Avro).
- Strong attention to data quality and testing.
- BS in Computer Science or equivalent experience.
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













