This role pays less than
77%
of similar roles. Most pay
$177,900–$211,200
— the shaded band above.
At the midpoint, this role pays about
$176k
versus about
$195k
for comparable roles.
Based on 240 similar postings.
Employer
About S&P Global
S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.
S&P Global currently has
46 open roles
on FindRole.
Listed pay typically runs
$142,000–$200,000
across 37 roles with salary data.
Big Data Engineer Lead will join the Ratings Organization's Data Services Team to provide technical leadership and develop scalable solutions for the next generation of analytics platforms. The role involves partnering with stakeholders to define use cases, collaborating with data scientists and software engineers to build machine learning and generative AI solutions, and developing tools to optimize model performance. Key responsibilities include analyzing large datasets, researching emerging AI technologies, and establishing technical standards across the organization. The required technical stack includes Python, Java, Spring Boot, SQL, and experience with frameworks like TensorFlow, PyTorch, or scikit-learn. Candidates should be proficient in cloud environments like AWS, containerization tools such as Docker and Kubernetes, and version control via Git. Specialized knowledge in LangChain, graph technologies, and distributed computing frameworks like Apache Spark is also preferred to solve complex data problems.