Data Developer – 12 month contract

Triton Digital

. Develop new products/applications and enhance existing ones using Scala, Python, or other relevant technologies .

Posted 10/21/2026contractRemote • CanadaMid-LevelSenior💰 CA$90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and enhancing applications using Scala and Python, with a strong focus on Big Data technologies and cloud platforms, particularly AWS. Proficient in managing machine learning model lifecycles and collaborating within Agile teams to deliver scalable solutions.

Highest-signal resume keywords

Scala ProgrammingPython ProgrammingBig Data TechnologiesAWS Cloud ServicesMachine Learning Engineering

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingParallel ProcessingTest-Driven DevelopmentCI/CDDockerKubernetesApache SparkAirflowDatabricksGitHub

Soft Skills

Strong Communication Skills

Tools & Technologies

GrafanaAWS Data ServicesScylla DB

Industry Keywords

AgileScrumMachine Learning Operations

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerGrafanaKubernetesPythonScalaSpark

About the role

Key responsibilities & impact

Develop new products/applications and enhance existing ones using Scala, Python, or other relevant technologies
Participate in all phases of the software development lifecycle, including planning, design, coding, testing, deployment, monitoring, support, and documentation
Use modern cloud and DevOps practices
Write high-quality code for robust, large-scale applications
Work with data scientists to understand models and translate complex algorithms into scalable solutions
Manage machine learning model lifecycles, including testing, deployment, and production monitoring
Provide observability through platforms such as Grafana
Maintain documentation of processes and best practices
Collaborate with Big Data developers, Data Ops, Data Science, and DevOps/SRE teams to integrate data and ML solutions into AWS infrastructure
Contribute to a self-organized, multidisciplinary Agile team
Work with the Product Manager and other product teams to define future organizational solutions
Recommend and support technological choices

Requirements

What you’ll need

Proficient in programming languages such as Scala or Python
Experience developing applications prioritizing high concurrency and short response times
Mastery of data modeling and parallel processing concepts
Solid knowledge of Big Data technologies, such as Apache Spark
Knowledge of distributed data storage systems, such as Scylla DB and AWS data services
Advanced knowledge of Docker and Kubernetes
Knowledge of cloud platforms, with a strong focus on AWS
Experience with test-driven development (TDD), CI/CD, GitHub, and GitHub Actions
Experience designing and optimizing data processing pipelines using Airflow and Databricks workflows
Experience in Machine Learning engineering and operations applied to Big Data
Experience with Apache Spark for ML and Databricks
Use of AI tools in software development
Experience developing in Agile/Scrum environments
At least five years of professional experience as a Big Data developer
Strong communication skills in English; French is an asset