Lead Python Engineer

S&P Global • Princeton, NJ

11h • $100,000 - $150,000 • Hybrid

About The Position

About the Role: The Team: S&P Global Energy’s Platform Engineering team is looking for an experienced Python/Spark data engineer. An ideal candidate will have a key role in accelerating the adoption and operational excellence of our Data Platform across the organization. This individual contributor will collaborate with platform users, data scientists, analysts, and product teams to deliver robust data solutions and drive best practices. They should be comfortable handling new challenges involving emerging technologies. The candidate must follow best practices for software development and have experience building reusable and maintainable application code for future projects.

Requirements

• Bachelor's degree in computer science , Engineering, Data Science, or related technical field
• 6+ years of experience in data engineering with strong proficiency in Python programming and data manipulation libraries
• Hands-on experience with distributed computing frameworks such as Apache Spark, Databricks, Dask , or Ray for large-scale data processing
• Proven experience designing and implementing ETL/ELT pipelines using tools like Apache Airflow, Prefect, or similar workflow orchestration platforms
• Strong knowledge of database technologies, including both SQL databases (PostgreSQL, MySQL) and NoSQL solutions (MongoDB, Cassandra)
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, including their data services and infrastructure components
• Strong analytical and problem-solving abilities with attention to detail in data quality and system reliability
• Excellent communication skills to collaborate effectively with cross-functional teams and translate technical concepts to business stakeholders
• Self-motivated with the ability to work independently while contributing to team objectives in a fast-paced environment

Responsibilities

• Design and develop scalable data processing pipelines using Python and Apache Spark to handle large-scale energy datasets
• Build and maintain ETL workflows that transform raw energy market data into actionable insights for business stakeholders
• Collaborate with cross-functional teams to implement data solutions that support critical energy trading and analytics platforms
• Optimize data pipeline performance and ensure high availability of data processing systems serving global energy markets
• Contribute to the architecture and design of next-generation data infrastructure supporting S&P Global Energy's expanding portfolio
• Mentor junior engineers and participate in code reviews to maintain high engineering standards across the platform team
• Troubleshoot and resolve data pipeline issues in production environments, ensuring minimal downtime and data integrity
• Develop automated testing frameworks and monitoring solutions to proactively identify and prevent data processing failures

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level