Data Engineer building geospatial data integrations for OCIANA's maritime operations. Collaborating with data scientists and engineers to optimize data pipelines and ML workflows.
Responsibilities
Architect and maintain Data Pipelines and Data Streams for geospatial and maritime data
Design and build Data APIs for internal and external access (FastAPI)
Collaborate with Data Scientists to build and deploy ML models using efficient ML Ops practices
Support and extend CI/CD workflows using GitLab/GitHub and Infrastructure-as-Code (CloudFormation)
Improve platform observability and reliability
Support event-driven architecture for scalable data flows across the platform
Requirements
10+ years of professional experience in data engineering or platform/backend engineering roles
Bachelor’s Degree in Computer Science, Engineering, related field, or equivalent
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
Familiarity with Apache Kafka, Apache Iceberg, or event-driven design patterns (bonus)
Experience with AIS (Automatic Identification System) or other maritime data sources (bonus)
Hands-on with Airflow, Terraform, Snowflake, or Apache Spark (bonus)
Strong understanding of both DevOps and ML Ops principles (bonus)
Development experience with web mapping patterns and tools (bonus)
Solid background in geospatial data processing and technologies (bonus)
Benefits
100% employer-paid health and dental benefits for you and your family
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