Data Engineer

 
About the Role: 
Grade Level (for internal use):
09The TeamAs a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will build and maintain enterprisescale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative.
Whats in it for you:

Be part of a global company and deliver solutions at enterprise scale

Collaborate with a hands-on, technically strong team (including leadership)

Solve high-complexity, high-impact problems end-to-end

Build, test, deploy, and maintain production-ready pipelines from ideation through deployment

Responsibilities:

Develop, deploy, and operate data extraction and automation pipelines in production

Integrate and deploy machine learning models into those pipelines (e.g., inference services, batch scoring)

Lead critical stages of the data engineering lifecycle, including:

End-to-end delivery of complex extraction, transformation, and ML deployment projects

Scaling and replicating pipelines on AWS (EKS, ECS, Lambda, S3, RDS)

Designing and managing DataOps processes, including Celery/Redis task queues and Airflow orchestration

Implementing robust CI/CD pipelines on Azure DevOps (build, test, deployment, rollback)

Writing and maintaining comprehensive unit, integration, and end-to-end tests (pytest, coverage)

Strengthen data quality, reliability, and observability through logging, metrics, and automated alerts

Define and evolve platform standards and best practices for code, testing, and deployment

Document architecture, processes, and runbooks to ensure reproducibility and smooth hand-offs

Partner closely with data scientists, ML engineers, and product teams to align on requirements, SLAs, and delivery timelines

Technical :

Expert proficiency in Python, including building extraction libraries and RESTful APIs

Hands-on experience with task queues and orchestrationCelery, Redis, Airflow

Strong AWS expertiseEKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch

Containerization and orchestrationDocker (mandatory), basic Kubernetes (preferred)

Proven experience deploying ML models to production (e.g., SageMaker, ECS, Lambda endpoints)

Proficient in writing tests (unit, integration, load) and enforcing high coverage

Solid understanding of CI/CD practices and hands-on experience with Azure DevOps pipelines

Familiarity with SQL and NoSQL stores for extracted data (e.g., PostgreSQL, MongoDB)

Strong debugging, performance tuning, and automation skills

Openness to evaluate and adopt emerging tools and languages as needed

Good to have:

Master's or Bachelor's degree in Computer Science, Engineering, or related field

2-6 years of relevant experience in data engineering, automation, or ML deployment

Prior contributions on GitHub, technical blogs, or open-source projects

Basic familiarity with GenAI model integration (calling LLM or embedding APIs)

Whats In It For
You
Our Purpose:
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress.Our People:
Our Values:
Integrity, Discovery, Partnership
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of
discovery to our work, and collaborate in close
partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Health & WellnessHealth care coverage designed for the mind and body.

Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills.

Invest in Your FutureSecure 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 PerksIts 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 BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected andengaged 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 reportfraud@spglobal.com. 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. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group)