Data Engineer

About the Role: Grade Level (for internal use): 09 Job Title: Data Engineer The Team: As a member of the EDO, Collection Platforms & AI – Foundational Data & Linking team, you will be at the heart of S&P Global's data-driven strategy. You will build and maintain enterprise-scale data processing pipelines that power our critical data sourcing, information retrieval, and machine learning solutions. In our AWS-based ecosystem, you will have the opportunity to design resilient, production-ready systems and grow your skills in a highly collaborative, global environment that encourages innovation and ownership. What’s in it for you Make a significant impact by delivering data solutions at an enterprise scale for a world-leading financial information provider. Collaborate with a hands‑on, technically strong team (including leadership) that values best practices and continuous learning. Take ownership of solving complex, high‑impact data challenges from end-to-end. Gain deep experience in the full lifecycle of data products—from ideation and architecture through to deployment and maintenance in production. Responsibilities Design, develop, and maintain robust, scalable, and reliable data pipelines using Python, PySpark, and Databricks . Develop complex SQL queries, optimize data models, and manage large datasets within our PostgreSQL databases. Build and deploy ETL/ELT processes to ingest, transform, and load data from a wide variety of sources. Implement and manage CI/CD pipelines (e.g., Azure DevOps, Jenkins) for automated testing and deployment of data applications. Ensure data quality, reliability, and observability by implementing comprehensive logging, monitoring, and alerting. Collaborate with data scientists, analysts, and other engineers to understand data needs and deliver effective solutions. Contribute to the evolution of our platform standards and best practices for data engineering, code quality, and testing. Create and maintain clear technical documentation for data pipelines, architecture, and processes. What We’re Looking For (Basic Qualifications) Bachelor’s degree in computer science, Engineering, or a related technical field. 4+ years of professional experience in a data engineering role. Expert-level programming skills in Python and its data ecosystem. Demonstrated expertise in large-scale data processing using PySpark and the Databricks platform. Advanced proficiency in SQL , with hands‑on experience in database design and performance tuning, specifically with PostgreSQL . What We’re Looking For (Preferred Qualifications) Experience with AWS services such as S3 for data storage, Lambda for serverless functions, and EKS for container orchestration. Solid understanding of CI/CD principles and experience with tools like Azure DevOps or Jenkins. Proficiency in writing comprehensive tests (unit, integration) using frameworks like pytest. Strong debugging, performance tuning, and automation skills. Prior contributions to open-source projects, a technical blog, or a public GitHub profile. Familiarity with the Machine Learning (ML) lifecycle (MLOps) and an understanding of AI concepts. Experience integrating models, including GenAI APIs, is a strong plus. Our Mission Advancing Essential Intelligence. Our People We’re more than 35,000 strong worldwide—so we’re able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it, we are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership Benefits Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company‑matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best‑in‑class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to View email address on click.appcast.io. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre‑employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. EEO Compliance If you need an accommodation during the application process due to a disability, please send an email to View email address on click.appcast.io and your request will be forwarded to the appropriate person. US Candidates Only See the EEO is the Law Poster: Describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision: #J-18808-Ljbffr S&P Global