Software Engineer Summer Intern

S&P Global

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cambridge, MANew York, NY
Employment: Intern
Posted: 2 days ago
Freshness: Confirmed live yesterday
Closes: Sep 9, 2027
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $164k

$102k most similar roles pay here $227k

This listing doesn't post a salary. Most similar roles pay $113,700–$214,500.

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.

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View all roles at S&P Global

At a glance

TL;DR · Software Engineer Summer Intern

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Software Engineer - Summer Intern 2027 As a Software Engineer - Summer Intern 2027 at Kensho, you will join a collaborative team to build and deploy novel solutions focused on business and financial generative AI applications. You will contribute to real features, participate in code reviews, and merge code into production environments while following engineering best practices like static type checking and infrastructure as code. Your daily work involves developing server-side and user-facing applications, designing scalable APIs, creating data ingestion pipelines for machine learning research, and building abstractions for platform observability. You will utilize a technical stack including Python, Django, TypeScript, Airflow, Postgres, Elasticsearch, Kafka, Redis, Envoy, AWS, Docker, Kubernetes, Terraform, Git, Jenkins, Prometheus, and Kibana. The role addresses complex challenges in data discovery, speech recognition, entity linking, document extraction, and automated database linking.

What does a Software Engineer earn in Massachusetts?

Median $207604 from 88 postings across 22 companies.

See salary data

Skills

Python Django TypeScript Airflow Elasticsearch Kafka Redis Envoy AWS Docker Kubernetes Terraform Git Jenkins Prometheus Kibana Grafana Machine Learning Natural Language Processing

What you'll do

Contribute to real features and merge code into the production codebase.
Develop server-side and user-facing applications built on machine learning capabilities.
Design scalable interfaces, APIs, and services to meet immediate and future needs.
Create abstractions to enable observability and deployment for core platforms.
Build data ingestion and processing pipelines for software products and R&D.
Implement engineering best practices including static type checking and Infrastructure as Code.
Participate in technical discussions and continuous learning during dedicated Knowledge Days.

What we're looking for

At least one core expertise such as distributed computing or deep knowledge of a technology used by the team.
Practical understanding of algorithms, data structures, and design patterns.
A portfolio of work including personal projects or open source contributions.
Versatility and adaptability to contribute across various teams and products.
Effective coding, documentation, and communication habits.
Ability to work out of the Cambridge HQ or New York City office.

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