Data Engineer

GSTS - Global Spatial Technology Solutions; Dartmouth; Remote; CAD 90,000 - 120,000; Full time

Job summary

A Maritime Intelligence Company is seeking a Data Engineer to build out geospatial data integrations for real-time decision-making. This role requires 10+ years in data engineering with strong Python and SQL skills, and experience in cloud-native architectures. Applicants benefit from a remote-first culture and competitive salary with comprehensive health benefits.

Benefits

Competitive salary and vacation

100% employer-paid health and dental benefits

Annual professional development spend

Qualifications

• 10+ years of professional experience in data engineering or platform/backend engineering.
• Strong Python and SQL programming skills with PostgreSQL preferred.
• Experience with cloud-native architecture in AWS.

Responsibilities

• Architect and maintain Data Pipelines and Data Streams for geospatial data.
• Design and build Data APIs for internal and external access.
• Collaborate with Data Scientists to build and deploy ML models.

Skills

Python

SQL

Data Engineering

Cloud-native architecture

CI/CD

Docker

Git

Education

Bachelor’s Degree Computer Science

Tools

AWS

GitLab

PostgreSQL

Apache Kafka

Job description

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. 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 are seeking individuals with drive, initiative, and adaptability to join our team and make the world safer and greener for all.

What we offer and how to learn more: 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 and Data Streams for geospatial and maritime data
• Design and build Data APIs 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 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

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

Stack

Gitlab/GitlabCI, AWS, CloudFormation, ECS Fargate/Lambda, Cloudwatch, Docker, Kinesis, API Gateway/Fast API, 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 Us?

Remote-first culture: Enjoy the flexibility of working from anywhere in Canada, with in-office options in Dartmouth, Nova Scotia and Montreal, Quebec. Have a meaningful impact, work with a collaborative team, and benefit from continuous learning and professional growth.

We are committed to creating a sense of belonging and 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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