Senior Data Engineer

Job not on LinkedIn

September 3

🗽 New York – Remote

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

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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We’re visionary innovators who are delivering mission-critical trading and workflow automation software to financial institutions, corporations, central banks, and governments. By combining our passion for automation with a strategic view on the industries we serve, we design solutions that improve decision-making, simplify complex processes, and empower people. Simply put, we help our customers do more, faster and better than before. We believe our investments in research and development are shaping the future of automation and enabling our customers to transform their business. And we embrace the power of community, working with each other and with our customers to succeed through a positive culture of continuous improvement.

10,000+ employees

📋 Description

• We are seeking a skilled and experienced Senior Data Engineer to join our innovative team. The ideal candidate will bring deep expertise in modern data engineering technologies, strong collaboration skills, and a solid understanding of the financial services sector. Beyond building scalable pipelines, this role will play a critical part in supporting Data Science initiatives—especially around feature engineering and preparing high-quality datasets for advanced analytics and machine learning. If you thrive in a collaborative, agile environment and excel at enabling research through robust data platforms, we’d love to hear from you.

🎯 Requirements

• 8+ years of experience delivering data-centric platforms with large datasets, fast SLAs, and high data quality standards. • Advanced proficiency in Python, including data processing libraries (e.g., Pandas, PySpark). • Strong hands-on experience with AWS data stack (S3, Glue, Athena, EMR, SageMaker) as well as orchestration and warehousing tools like Airflow and Snowflake. • Proven track record building pipelines that support Data Science workflows, including feature engineering and model-ready datasets. • Solid end-to-end development process experience, including CI/CD, automated deployments, code reviews, and delivering high-quality, production-ready code. • Strong problem-solving skills with the ability to debug complex issues and optimize performance. • Excellent interpersonal and organizational skills, with the ability to work collaboratively across Data Science, Engineering, and Business teams.