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
Cloud Data Engineer implementing tailored solutions for Volkswagen Group data processing. Building ETL/ELT pipelines while collaborating with technical experts.
Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
Data Engineer responsible for building scalable data infrastructure that supports data - driven decisions. Collaborating with team to maintain systems and unlock data value for organizations.
Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
Senior Data Engineer at CVS Health developing robust data pipelines for healthcare data. Collaborating with teams to provide actionable insights and integrate them with consumer touchpoints.
Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data - driven decisions with healthcare data for improved business outcomes.
Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.