Senior Data Platform Engineer
- Company
- Thomson Reuters
- Location
- New York, United States
- Salary
- 11 333–21 083 $/mo
- Posted
- 2026-09-30
Skills: SQL, AWS, GCP, Azure, Hadoop, Spark, Snowflake, Python, Java, Go, Kafka, Flink, Machine Learning
- Strong knowledge of SQL and NoSQL databases, data modeling, and query optimization - Experience with AWS, Google Cloud Platform, or Microsoft Azure and infrastructure-as-code practices - Strong experience with distributed systems, data warehousing, or large-scale data technologies such as Hadoop, Spark, or Snowflake - Seven or more years of software engineering experience, including at least four years focused on data platforms, backend infrastructure, or related systems - Experience with data compliance, privacy regulations, or secure data handling - Proficiency in at least one systems programming language, such as Python, Java, C++, or Go, and experience designing scalable APIs - Experience in legal technology, financial services, or another highly regulated industry - A record of leading cross-functional initiatives and mentoring engineers - Experience with real-time data processing and streaming technologies such as Kafka or Flink - Familiarity with machine learning pipelines and feature engineering platforms - Coding in Python Join our team as a Senior Data Platform Engineer, where you will design, build, and maintain the infrastructure for processing and serving large volumes of legal and financial document data. You will work across various backend services, data pipelines, databases, and cloud infrastructure to ensure scalability, reliability, security, and compliance. Your responsibilities will include optimizing data pipelines, building high-performance backend…
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