Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of a Sr. Lead AI Engineer, Data at Coupa: Coupa's data platform already handles anonymized data exports, commodity classification, supplier normalization, and benchmark metrics across 197+ enterprise tables. The Lead AI Engineer, Data will expand this foundation, building the data curation and pipeline infrastructure that feeds our growing AI model training capabilities. This is a high-volume workstream processing trillions of dollars of enterprise spend data. What You’ll Do - Lead the design and implementation of data pipelines that prepare high-quality training data for AI models. - Build data curation workflows that transform raw enterprise data into labeled, validated datasets. - Design data quality frameworks: validation, profiling, anomaly detection, lineage tracking. - Extend existing anonymized data export pipelines to support AI training workloads. - Implement synthetic data generation pipelines. - Design schema mappings across 197+ enterprise tables for feature extraction. - Collaborate with ML engineers on training data format requirements. - Establish data catalog and metadata management for AI training artifacts. What You Will Bring to Coupa - 10+ years of software engineering experience, with 5+ years in data engineering. - Strong experience with Apache Spark / PySpark and large-scale data processing. - Experience building ETL/ELT pipelines on cloud infrastructure (managed Spark, object storage, managed ETL, or equivalent). - Knowledge of data quality frameworks and data governance. - Experience with data anonymization and privacy-preserving data processing. - Understanding of ML training data requirements. - Proficiency in Python and SQL. - Experience with data catalog tools and metadata management. - BS/MS in Computer Science or equivalent experience. - Experience in B2B SaaS with multi-tenant data preferred. Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.

• Design and lead development of scalable data pipelines using Airflow, dbt, and Python. • Guide architecture and evolution of the company data platform. • Build integrations across modern data stack tools including Fivetran, Redshift, and Sigma. • Develop serverless data services using AWS services such as Lambda. • Partner with stakeholders to define reliable data models and analytics datasets. • Improve pipeline reliability through testing, monitoring, and observability. • Modernize legacy data processes and improve automation across the platform. • Mentor engineers and analysts on data modeling and platform best practices. • Drive improvements in data governance and documentation.

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: Uses advanced expertise and knowledge to lead the development and operationalization of data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Works closely with the DevSecOps Engineer during continuous integration and continuous deployment. - Leads the design and implementation of standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.) - Leads data engineers and provides advanced experience in the design, development, implementation, testing, documenting, and operating of large-scale, high-volume, high-performance data structures for business intelligence analytics - Leads the team using advanced experience and knowledge in the design, development, and maintenance of real-time processing applications and real-time data pipelines - Ensure quality of technical solutions as data moves across Centene’s environments - Provides advanced knowledge and insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions - Develops, constructs, tests, and maintains architectures using advanced programming language and tools - Leads and implements ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated - Performs other duties as assigned - Complies with all policies and standards Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 5 – 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: - One or more of the following skills are desired. - Python - SQL - Snowflake Pay Range: $102,900.00 - $190,500.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

• Working alongside a small, scrappy, mission driven team. • Collaborating with key stakeholders across other teams. • Ownership of development end to end. • Making an impact on an exciting new-comer to the online social space. • Understanding and writing complex queries. • Analyzing and Framing relationships between data sets. • Working with Neptune/AWS/Neo4j. • Reporting directly to the CTO.