Data Engineer

GSTS - Global Spatial Technology Solutions; Dartmouth; Remote; CAD 80,000 - 120,000; Full time

Job summary

A leading maritime intelligence company is seeking a Data Engineer to enhance its geospatial data platform, OCIANA. The role involves designing data pipelines, collaborating with cross-functional teams, and optimizing cloud architecture. Join us in making significant contributions to maritime safety and efficiency.

Benefits

100% employer-paid health and dental benefits

Remote-first culture

Annual professional development spend

One-time tech allowance

Qualifications

• 5+ years of experience in data engineering or platform/backend engineering roles.
• Strong programming skills in Python and SQL (PostgreSQL preferred).
• Experience with cloud-native architecture and managed services in AWS.

Responsibilities

• Architect and maintain data pipelines for TB-scale geospatial and maritime data.
• Develop RESTful APIs for data access.
• Collaborate with Data Scientists to build and deploy ML models.

Skills

Python

SQL

CI/CD

Containerization

Education

Bachelor’s Degree in Computer Science, Engineering, or related field

Tools

AWS

Docker

GitLab

Job description

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.

GSTS is building a team to support the continued development and commercialization of this capability, which will have a major impact on maritime risk and vessel efficiency on a global scale. We're seeking individuals with drive, initiative, and adaptability to join our team and make the world safer and greener for all. Read more at: www.gsts.ca

Role

As 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 for ingesting and transforming TB-scale geospatial and maritime data
• Develop and manage RESTful APIs (FastAPI preferred) for internal and external data access
• 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)
• Implement real-time streaming architectures (Kinesis, Kafka, or similar)
• Improve platform observability and reliability
• Automate container orchestration with Docker and Kubernetes
• Support event-driven architecture for scalable data flows across the platform
  
  

Experience & Qualifications

• 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
  
  

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 Ops 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
  
  

Comments/Special Considerations

Candidates must be willing to obtain a criminal background check and provide two professional references

What We Offer

GSTS is focused on attracting unique, diverse perspectives that help drive the global maritime industry forward. Our compensation is comprised of the following:

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 US?

Remote-first culture: Enjoy the flexibility of working from anywhere in Canada, allowing you to balance your professional and personal life. Prefer to be in office? We also have Dartmouth, Nova Scotia and Montreal, Quebec offices offering flexible hybrid options.

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 are committed to creating a sense of belonging amongst our team. 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.

GSTS offers a competitive salary and benefits package. If you think this challenge is right for you, we encourage you to apply. Please address any questions to [e-mail].

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