Senior Data Engineer

Grade Level (for internal use): 10 S&P Global Energy The Role: Senior Data Engineer The Team: The Data Engineering team expands and optimizes our data pipeline architecture, working collaboratively with cross-functional teams to build scalable data systems that support next-generation products and analytics initiative. Responsibilities and Impact: As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization to make informed business decisions based on accurate, reliable, and accessible data. This role directly impacts our clients and markets by ensuring the availability, performance, and quality of critical data assets.You will be responsible for: Design and maintain scalable data pipeline and database architectures to support operational and analytical workloads. Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance. Build and support data ingestion, integration, transformation, and storage solutions using SQL, Python, cloud platforms, and distributed processing technologies. Collaborate with Product, Engineering, Analytics, and Architecture teams to address data and database-related technical challenges. Develop APIs, data services, and automation frameworks to improve data accessibility and operational efficiency. Partner with cross-functional teams to continuously enhance data platform reliability, observability, and scalability.   What We’re Looking For Technical Skills Minimum 5 years of experience in Data or Database Engineering, or a related role. Experience with NoSQL databases, including MarkLogic, MongoDB, Couchbase, Cassandra, DynamoDB, or Elasticsearch/OpenSearch. Experience with database design, data modeling, indexing, query optimization, performance tuning, replication, and high-availability solutions. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data services. Experience with workflow orchestration, version control (GitHub, GitLab, Bitbucket, Azure Repos), and CI/CD practices. Experience with Python, SQL, RESTful APIs, and modern API frameworks (FastAPI, Flask, or Django). Understanding of distributed systems, streaming platforms, search/indexing technologies, NoSQL databases, and container orchestration platforms. Demonstrated ability to design and implement scalable, resilient, and high-performing data and database solutions.   Professional Skills: Strong analytical and problem-solving skills. Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. Experience building solutions and working in Agile environments (e.g., Scrum, Kanban). About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at   www.spglobal.com/energy . What’s In It For You?

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