About the Role:

Grade Level (for internal use):

10

The Role: Graph Data Engineer  

The Team: We are a central data and reporting function that gathers all organizational data spanning from financial to inventory. This unique position allows our team to innovate and build data products and solutions for internal stakeholders, including applying AI and Machine Learning to our comprehensive datasets. We foster a collaborative environment where continuous learning is encouraged, and team members regularly share knowledge about the latest AI developments and methodologies. The team values experimentation, data-driven decision making, and maintains a culture of intellectual curiosity where interns are mentored by experienced practitioners and given meaningful projects that contribute to real-world applications. 

The Impact: The impact of this role lies in building graph-powered data solutions that enhance how AI systems consume and interpret enterprise data, enabling smarter and faster decision-making across the organization. 

By developing high-quality data products and improving data accessibility, the role directly supports stakeholders—from senior leadership to operational teams—with reliable, actionable insights. 

Additionally, through strong troubleshooting and support practices, it elevates user experience, ensuring scalable, efficient, and continuously improving data and reporting capabilities. 

What’s in it for you:  

• You will work with diverse, high-value datasets, solving real-world challenges across data engineering, Agentic AI, graph-based solutions, and reporting. 

• This role offers strong learning opportunities through close collaboration with experienced professionals, along with hands-on exposure to building AI-powered data products. 

• You will gain end-to-end experience—from data extraction and wrangling to engineering and visualization—while contributing to impactful, enterprise-wide initiatives. 

Responsibilities:  

You will be helping build a graph solution that powers AI systems – In the day-to-day operations, you will be working with DTS BI Scrum team with the goal to develop cutting edge Data Products for consumption of DTS data by our internal customers which include users from across DTS and the S&P Global Enterprise at all levels from senior leadership to individual users. You will also drive Strategic Initiatives that enable us to deliver better products, faster and with world class support. With your acute investigation, troubleshooting and communication skills, you will be championing support best practices and improving our user’s experience.  Some of your areas of ownership will include:  

Graph database: 

• Building knowledge graph and graph rag solutions for AI systems 

• Write, test, and optimize graph queries for multi-hop traversal, path analysis, and aggregations. 

• Tune performance (indexes/constraints, query refactors, batching strategies) and improve reliability (idempotent loads, retry/backoff, backfills). 

• Guide leadership and team on Graph Database solutions and implementations. 

Data Engineering:  

• Data manipulations and transformations either applied in SQL or in Power BI (DAX/Power Query)  

• Maintain and update datasets in our Lakehouse/Warehouse 

• Maintain data quality in reporting and crafted data. 

• Document data manipulations and transformations for use in data dictionary 

• Knowledge of Generative AI and its components 

Collaboration, Communication and Creative:  

• Work closely with the team, product owner, and other stakeholders to understand data requirements and translate them into technical solutions.  

• Collaborate with cross-functional teams to design and implement data-driven solutions.  

• Strong interpersonal skills with the ability to communicate expert information to non-experts 

• Creativity in coming up with solutions around data and end user experience. 

Innovation and Continuous Improvement:  

• Stay updated with the latest trends and technologies in data tools and engineering.  

• Participate in the development of best practices and guidelines for data management and engineering.  

What We’re Looking For:  

Basic Qualifications:  

• 5+ years professional experience as a data engineer or similar role  

• B.S. / M.S. in Computer Sciences or related field. 

• Knowledge across Graph databases (e.g. Neo4j, GraphDB). 

• Understanding of various graph models: 

• Property graph modeling (nodes/relationships/properties) for Neo4j use cases. 

• RDF / semantic modeling (triples, vocabularies/ontologies) for GraphDB use cases. 

• Entity graph patterns: canonical entities, identity resolution, deduplication, survivorship rules. 

• Hypergraph-style modeling needs using patterns like relationship-as-node (when relationships require attributes, provenance, or n-ary semantics). 

• Experience in using Graph database in AI systems such as Graph RAG. 

• Knowledge of and around SQL. 

• Programing skills in coding languages specifically for data such as Python. 

• Familiarity with cloud data platforms (e.g., AWS, Azure, Google Cloud).  

• Knowledge of data lake warehousing concepts and tools (e.g. Snowflake, Databricks, MS Fabric).  

• Open to working flexible hours as per business needs. 

    

Preferred Qualifications:  

• Some type of certifications in data architecture, engineering, or analytics (e.g., AWS Certified Big Data, Google Cloud Professional Data Engineer, Microsoft Data Engineer).  

• Certifications around graph databases or relevant experience 

• Proficiency in graph query languages such as cypher, SPARQL, gremlin or GQL. 

• Proficiency in Python. 

• Proficiency in SQL. 

• Utilized AI in general productivity 

• Understanding of End-to-End Data to Insight lifecycle. 

• Experience with data governance and data security practices.  

• Familiarity with machine learning and AI concepts.

What’s In It For You?

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

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.

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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: Know Your Rights: Workplace discrimination is illegal

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IFTECH202.1 - Middle Professional Tier I (EEO Job Group)