We are seeking a highly skilled professional to lead the design and development of our data infrastructure. This is a full-time, 100% remote opportunity.
As a Senior Data Engineer, you will be responsible for creating robust, scalable data systems across real-time and batch workloads.
* Design and develop scalable data infrastructure
* Build and support machine learning pipelines for model training, deployment, and monitoring
* Collaborate cross-functionally with data scientists, engineers, and product teams to deliver high-performance data and ML solutions
* Develop APIs and services for data ingestion, transformation, and querying
* Evaluate the reliability of machine learning systems through strong observability and operational tools
* Contribute to architectural decisions and mentor team members
Tech Stack & Requirements:
* 5+ years as a Data Engineer or MLOps Engineer
* Strong experience with Python, Java, or Scala
* Hands-on with Google Cloud Platform (preferred), AWS, or Azure
* Experience with BigQuery, machine learning frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes)
* Familiarity with Apache Kafka, Spark, or similar tools is beneficial
* Experience with ETL, CI/CD, git, and monitoring pipelines
* Strong communication skills and fluency in English is mandatory
* Bachelor's or Master's degree in Computer Science or related fields
What We Offer:
* A competitive hourly rate paid in USD
* A 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