Unlock Scalable Data Platforms
We are seeking a highly skilled Senior Data Engineer to join our team. This is a 100% remote opportunity, allowing you to collaborate with international teams from the comfort of your own home.
* Design and develop robust, scalable data infrastructure for real-time and batch workloads.
* Build and support machine learning pipelines for model training, deployment, and monitoring.
* Collaborate with cross-functional teams to deliver high-performance data and machine learning solutions.
* Develop APIs and services for data ingestion, transformation, and querying.
As a key member of our team, you will have the opportunity to contribute to architectural decisions and mentor junior engineers.
Requirements
* 5+ years of experience as a Data Engineer or MLOps Engineer.
* Strong expertise in Python, Java, or Scala programming languages.
* Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
* Familiarity with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
* Experience with Extract-Transform-Load (ETL), Continuous Integration/Continuous Deployment (CI/CD), Git, and monitoring pipelines.
* Strong communication skills and fluency in English (written & spoken) is mandatory.
* Bachelor's or Master's degree in Computer Science or related fields.
What We Offer
* A top-tier 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 company.