Senior Data Engineer

Yesterday

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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S&P Global

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S&P Global is a leading provider of data, analytics, and insights for critical business decisions, offering a wide range of services including market intelligence, ratings, commodity insights, and indices like the S&P Dow Jones Indices. The company focuses on several key areas such as sustainability, private markets, energy transition, and artificial intelligence. It provides tools and platforms like S&P Capital IQ Pro and Ratings360, as well as ESG scores and indices that guide investment decisions. S&P Global’s offerings are integral to sectors such as finance, investment, and corporate governance, aiming to enhance transparency and efficiency in the global economy.

Analytics • Credit ratings • Finance • Energy & commodities information • Intelligence

10,000+ employees

Founded 1888

💸 Finance

⚡ Energy

📋 Description

• Collaborate with stakeholders, including data scientists, analysts, and other engineers, to understand and refine requirements related to data processing and transformation needs. • Design, construct, install, and maintain large-scale processing systems and other infrastructure. • Build high-performance algorithms, prototypes, and conceptual models and enable the efficient retrieval and analysis of data. • Implement ETL processes to acquire, validate, and process incoming data from diverse sources. • Ensure data architecture and model adhere to compliance, privacy, and security standards. • Work in conjunction with data scientists to optimize data science and machine learning algorithms and models. • Provide technical expertise in the resolution of data-related issues, including data quality, data lineage, and data processing errors. • Manage the deployment of analytics solutions into production and maintain them. • Maintain high-quality processes and deliver projects in collaborative Agile team environments.

🎯 Requirements

• 7+ years of programming experience particularly in Python, R, Java or C#. • 4+ years of experience working with SQL or NoSQL databases. • 1+ years of experience working with Bigdata processing engines. • University degree in Computer Science, Engineering, Mathematics, or related disciplines. • Strong understanding of big data technologies such as Hadoop, distributed data processing framework, or message broker systems. • Demonstrated ability to design and implement end-to-end scalable and performant data pipelines. • Experience with workflow management platforms like Airflow. • 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 the Agile working environment • Experience working with git or other source control tools • Experience working with Oil, gas, and energy markets. • Familiarity with BI Visualization applications (e.g. Tableau, Power BI, Spotfire). • Understanding of cloud-based services, preferably AWS. • Experience working with Unified analytics platforms like Databricks. • Experience in managing and deploying containerized applications using Docker, Kubernetes, or similar technologies. • Machine learning/Data Science experience

🏖️ Benefits

• Health care coverage designed for the mind and body. • Generous time off helps keep you energized for your time on. • Access a wealth of resources to grow your career and learn valuable new skills. • Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. • S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. • From retail discounts to referral incentive awards—small perks can make a big difference.