Senior Data Engineer Position
We are seeking a skilled Senior Data Engineer to join our data engineering team.
This is a full-time opportunity that can be performed 100% remotely, exclusive to candidates located in Brazil.
Key Responsibilities
* Design and develop robust scalable data infrastructure for real-time and batch workloads.
* Build and maintain ML pipelines for model training deployment and monitoring.
* Collaborate with cross-functional teams to deliver high-performance data and ML solutions.
* Develop APIs and services for data ingestion transformation and querying.
* Ensure the reliability of ML systems through strong observability and operational tools.
* Contribute to architectural decisions and mentor team members.
Required Skills and Qualifications
* At least 5 years of experience as a Data Engineer or MLOps Engineer.
* Strong expertise in programming languages such as Python, Java, or Scala.
* Familiarity with cloud platforms like GCP, AWS, or Azure.
* Hands-on experience with BigQuery, ML frameworks like TensorFlow or PyTorch, and container orchestration tools like Docker and Kubernetes.
* Familiarity with Apache Kafka, Spark, or similar tools is highly valued.
* Experience with ETL, CI/CD, Git, and monitoring pipelines.
* Excellent communication skills and fluency in English.
* 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 allowing collaboration with international teams from anywhere.
* A high-impact role within a data-driven mission-oriented organization.