Senior Data Engineer Real-Time & Distributed Systems (GCP)
Innodata
- United States
- United States
Über
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
Job requirements
Advanced proficiency in
Python
for backend and large-scale data processing
Strong experience building and managing
big data pipelines
in production environments
Hands-on expertise with
workflow orchestration tools
such as Airflow or Google Cloud Composer
Proven experience in
batch and streaming data processing
using: Apache Spark
Apache Beam (Dataflow)
Experience designing and operating
event-driven systems
using Pub/Sub
Strong understanding of
distributed systems architecture
and scalability patterns
Experience managing
globally distributed, low-latency datasets
Hands-on experience with
NoSQL databases
and/or Google Cloud Spanner
Strong knowledge of system reliability, fault tolerance, and performance optimization
Preferred Skills Proficiency in
Go, Java, or Scala
Experience with
Kafka or Flume
for streaming ingestion
Deep familiarity with the
Google Cloud Platform ecosystem
Experience with production monitoring, logging, and observability frameworks
Exposure to high-availability, multi-region deployments
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
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Sprachkenntnisse
- English
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