We are currently seeking a seasoned professional to assume the role of Senior Data Engineer. As part of our rapidly expanding data engineering team, this individual will be responsible for designing, developing, and maintaining robust, scalable data infrastructure across real-time and batch workloads.
Key responsibilities include creating and supporting machine learning pipelines for model training, deployment, and monitoring, as well as collaborating cross-functionally with data scientists, engineers, and product teams to deliver high-performance data and ML solutions.
The ideal candidate will have at least 5 years of experience in data engineering or MLOps engineering, with strong expertise in programming languages such as Python, Java, or Scala, and hands-on experience with cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
Familiarity with BigQuery, machine learning frameworks (TensorFlow, PyTorch), and container orchestration tools (Docker, Kubernetes) is highly desirable. Strong communication skills and fluency in English are also mandatory.
A bachelor's or master's degree in Computer Science or related fields is required.
* Top-tier hourly rate paid in USD
* Long-term contract opportunity
* Fully remote work – collaborate with international teams from the comfort of your home
* A high-impact role within a data-driven organization