Data Engineer building out OCIANA’s geospatial data integrations for a maritime AI company. Collaborating with data scientists and engineers to optimize pipelines and deliver data services.
Responsibilities
Architect and maintain Data Pipelines and underlying data models for ingesting and transforming TB-scale geospatial and maritime data
Develop and manage RESTful APIs (FastAPI preferred) for internal and external data access
Support and extend CI/CD workflows using GitLab/GitHub and Infrastructure-as-Code (CloudFormation)
Implement real-time streaming architectures (Kinesis, Kafka, or similar)
Improve platform observability and reliability through metric generation and alert config
Automate container orchestration with Docker, CI/CD and AWS Elastic Container Services
Support event-driven architecture for scalable data flows across the platform
Requirements
Bachelor’s Degree in Computer Science, Engineering, related field, or equivalent
5+ years of experience in data engineering or platform/backend engineering roles
Strong Python and SQL programming skills (PostgreSQL preferred)
Experience with cloud-native architecture and working with managed services in AWS
Proven experience in CI/CD, containerization (Docker), and orchestrators like ECS
Familiarity with Git-based collaboration (GitLab) and Agile/Scrum development environments
Experience building and optimizing large-scale data infrastructure and distributed systems
Benefits
100% employer-paid health and dental benefits for you and your family
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