Senior Data Engineer

Towards AI, Inc.; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Sportradar in New York, NY, USA is seeking a Senior Data Engineer to design, build, and optimize large-scale data pipelines for analytics and data science products.

The role focuses on ingestion pipelines in cloud services for real-time and batch data, data modeling and ETL development, and ensuring system observability. Collaboration with engineering teams will drive scalability across platforms.

Qualifications

• Master’s degree in Computer Science, Computer Engineering, or a closely related field.
• One year of professional experience as a data engineer or in a related occupation.
• Experience with Python, Java, Kafka, AWS, Docker, ETL development, data warehousing, SQL-based analytics, and data architecture design.
• Familiarity with working in an Agile development environment.

Responsibilities

• Design, build, and implement large-scale data pipelines for analytics and data science products.
• Develop ingestion pipelines within cloud services to process real-time and batch data from external sources.
• Create data models and perform ETL development to optimize systems.
• Implement monitoring and error handling to maintain observability and robustness.
• Collaborate with engineering teams to drive scalability and consistency across systems.

Skills

Python

Java

SQL

Data architecture

ETL development

Agile development

Cloud services

Education

Master’s degree in Computer Science or Computer Engineering

Tools

AWS

Docker

Kafka

REST APIs

Jira

Job description

# Senior Data Engineer## SportradarPublished 16 Jul 2026### Share this jobNew York, NY, USAFull Time## Role Highlights### Languages usedPythonJavaSQL### Key skillsData EngineerData ArchitectData ScienceComputer ScienceIntegrationsSystem DesignUnit TestingOperatorsCloudBatchStorageETLOptimizationArchitectureDebuggingLoggingAgile### Tools, Libraries and FrameworksBoostAWSKafkaJiraDockerRest## DescriptionThe role involves designing, building, and implementing large-scale data pipelines to support analytics and data science products. Responsibilities include developing ingestion pipelines within cloud services to process real-time and batch data from external sources. The position requires creating data models and performing extract, transform, and load development to ensure system optimization. Monitoring and error handling are implemented to maintain observability and system robustness. Additionally, the role focuses on building automated data cleaning processes and collaborating with engineering teams to drive scalability and consistency across systems.## Required Qualifications and SkillsCandidates must hold a Master’s degree in Computer Science, Computer Engineering, or a closely related field. One year of professional experience as a data engineer or in a related occupation is required. Applicants must possess one year of experience with Python, Java, Kafka, AWS, Docker, ETL development, data warehousing, SQL-based analytics, and designing data architecture. Familiarity with working in an Agile development environment is also necessary.