Senior Data Engineer – Real-Time & Distributed Systems (GCP)
Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.
Key Responsibilities
Design, build, and optimize scalable data pipelines for batch and real-time processing
Develop and maintain event-driven architectures for high-throughput systems
Ensure data reliability, performance, and low-latency processing across distributed environments
Collaborate with data scientists and application teams to enable analytics and AI use cases
Implement best practices in performance tuning, monitoring, and cost optimization
