Our organization is seeking a seasoned data engineer to contribute to our growing team of experts.
This full-time opportunity offers the chance to work remotely with a dynamic company at the forefront of sustainable commerce and data-driven operations.
* We are looking for an individual who can design, develop, and maintain robust and scalable data infrastructure across real-time and batch workloads.
* The ideal candidate will have experience building and supporting ML pipelines for model training, deployment, and monitoring.
* Candidates should be able to collaborate effectively with cross-functional teams to deliver high-performance data and ML solutions.
* A strong background in developing APIs and services for data ingestion, transformation, and querying is essential.
* The successful candidate will ensure the reliability of ML systems through strong observability and operational tools.
* Candidates should also be able to contribute to architectural decisions and mentor team members.
Required skills and qualifications:
* Minimum 5 years of experience as a data engineer or MLOps engineer.
* Strong experience with Python, Java, or Scala.
* Hands-on experience with GCP preferred, AWS, or Azure.
* Experience with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
* Familiarity with Apache Kafka, Spark, or similar tools is a plus.
* Experience with ETL, CDC, Git, and monitoring pipelines.
* Strong communication skills and fluency in English (written and spoken) is mandatory.
* Bachelor's or Master's degree in Computer Science or related fields.
Benefits:
* Top-tier hourly rate paid in USD.
* Long-term contract opportunity.
* Fully remote work, collaborating with international teams from the comfort of your home.
* A high-impact role within a data-driven mission-oriented organization.