Lead AI Data Engineer - S&P Global

About the Role:

Grade Level (for internal use):

11

Summary:

As a Data Engineer & AI Developer, you will play a key role in transforming complex data into clear, actionable insights. You will be responsible for building robust data pipelines, developing interactive dashboards, and integrating cutting-edge AI techniques to enhance our data processes and insights. This is a unique opportunity to blend expertise in data engineering and visualization with a forward-thinking approach to artificial intelligence.

Key Responsibilities:

• ETL/ELT Development: Design, build, and optimize scalable data pipelines using ETL/ELT processes to ingest, clean, and transform large datasets from various sources.
• AI-Powered Data Engineering: Implement and manage AI-driven ETL processes that use machine learning models for data quality checks, anomaly detection, and automated data transformation.
• Advanced Data Processing: Utilize Python and Apache Spark on the Databricks platform to perform large-scale data processing and feature engineering. Leverage tools like Delta Lake for efficient and reliable data management.
• Multi-Cloud Infrastructure: Architect and manage data solutions within the AWS and Azure ecosystem, leveraging services like S3 or ADLS for storage.
• AI/ML Integration: Work with data scientists to integrate machine learning models into production pipelines, ensuring data is prepared and delivered for model training and inference.
• Automated Workflows & Agentic CI/CD: Implement and maintain CI/CD pipelines using GitHub Actions, with a focus on creating agentic CI/CD workflows that automate tasks, trigger model retraining, or deploy data services based on dynamic triggers or data changes.
• Database Management: Write complex SQL queries and apply strong knowledge of database and data warehousing concepts to design and optimize data schemas.
• Software Engineering Principles: Adhere to best practices in software development, including writing clean, well-documented code, conducting code reviews, and designing for scalability and maintainability.
  
  
  

Required Skills:

• Proven experience in building and managing large-scale data pipelines.
• Strong proficiency in Python, including libraries like Pandas, NumPy, and PySpark.
• Hands-on expertise with Databricks and Apache Spark.
• Solid understanding of AWS services relevant to data engineering (S3, Glue, EMR).
• Solid understanding of Azure services relevant to data engineering (Data Lake, Azure HDInsight, Data Factory)
• Experience with GitHub and developing robust CI/CD pipelines.
• Proficiency in SQL and knowledge of relational and NoSQL databases.
• A strong foundation in software engineering principles.
  
  
  

AI Skills (Highly Desired):

• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of AI/ML applications in data engineering, such as using models for data quality or feature selection.
• Familiarity with agentic systems and the ability to build agentic CI/CD pipelines that automate complex, multi-step processes.
• Experience with data governance and explainability in AI/ML pipelines.
  
  
  

What's In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the 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:

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. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

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 can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.

Our benefits include:

• 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: https://spgbenefits.com/benefit-summaries

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 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

10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)