Data Engineer

Job Overview Global Spatial Technology Solutions (GSTS) is a global maritime intelligence company delivering solutions to enhance decision‑making across the maritime and logistics industry. Our platform, OCIANA, is designed to save lives, energy and the environment on a global scale using innovative data‑collection and analysis techniques. We are building a team to support the continued development and commercialization of this capability, enabling safer, greener maritime operations worldwide. Role As a Data Engineer you’ll play a critical role in building out OCIANA’s geospatial data integrations, enabling real‑time decision‑making and supporting novel machine‑learning models. You’ll collaborate with Data Scientists, Product Owners and Platform Engineers to scale infrastructure, optimize pipelines and ensure seamless delivery of data services from ingestion to visualization. Key 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 Experience & Qualifications 10+ years of professional experience in data engineering or platform/backend engineering roles Bachelor’s degree in Computer Science, Engineering or related field (or equivalent) Strong Python and SQL programming skills (PostgreSQL preferred) Experience with cloud‑native architecture and managed services in AWS Proven experience in CI/CD, containerization (Docker) and orchestrators such as ECS Familiarity with Git‑based collaboration (GitLab) and Agile/Scrum development environments Experience building and optimizing large‑scale data infrastructure and distributed systems Bonus Points Familiarity with Apache Kafka, Apache Iceberg, or event‑driven design patterns Experience with AIS (Automatic Identification System) or other maritime data sources Hands‑on with Airflow, Terraform, Snowflake, or Apache Spark Strong understanding of both DevOps and ML‑Op principles Development experience with web‑mapping patterns and tools (Mapbox, Deck.GL, Leaflet) Solid background in geospatial data processing and technologies (PostGIS) Familiarity with R/Shiny applications Our Stack GitLab/GitLab CI, AWS, CloudFormation, ECS Fargate/Lambda, CloudWatch, Docker, Kinesis, API Gateway/FastAPI, Node.js, Sentry, React, AGGrid, Deck.gl, Python, PostgreSQL/Athena Comments / Special Considerations Candidates must be willing to obtain a criminal background check and provide two professional references. What We Offer Competitive salary and vacation 100% employer‑paid health and dental benefits for you and your family Annual HSA/FSA allotment Access to mental health professionals Annual professional development spend One‑time tech allowance Why Work with GSTS? Have a meaningful impact: Join a dynamic environment where your contributions directly influence our products and company growth. Collaborative team: Be part of a small, agile team that values positivity, creativity, and open communication. Continuous learning: We’re committed to your professional growth, providing opportunities for skill development and staying current with industry trends. Exciting industry: Work on cutting‑edge projects in a rapidly evolving field, applying your skills to solve real‑world challenges. Work‑life balance: We respect your time outside work and strive to maintain a healthy balance between professional and personal commitments. We place an emphasis on fostering a diverse, collaborative, and inclusive working environment. We welcome applications from qualified candidates irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. #J-18808-Ljbffr