Junior Data Engineer

4 days ago


KOHO CAN, Canada KOHO Full time
About KOHO

We're on a mission to make financial services better for every Canadian. That means no hidden fees, no predatory interest rates - just financial products designed to help our users spend smart, save more, and build real wealth. We're a performance organization with a strong heart: we care deeply about outcomes, and everything ties back to our mission - to financially empower a generation of Canadians.

At KOHO, we're not your average 9-5. We believe real impact comes from people who are trusted, empowered, and supported to do their best work - without sacrificing their lives to do it. We prioritize work-life integration, not just work-life balance. That means asynchronous collaboration, flexible hours, and a remote-first setup built around autonomy and high trust.

KOHO is entering its next chapter - leaner, smarter, more AI-integrated. We're building for impact, not bureaucracy. If you thrive in environments that value clarity, ownership, and bold thinking, you'll fit right in.

About The Role

We are seeking a motivated and detail-oriented Junior Data Engineer to join our Data Platform team for a remote role based in Canada.

The successful candidate will support the development and maintenance of data pipelines, assist with data integration tasks, and help ensure data quality across our fintech platform. This role provides an excellent opportunity to learn from experienced data engineers while working with modern cloud technologies and contributing to real-world data solutions. We value curiosity and eagerness to learn, so if you're passionate about data engineering, we'd love to hear from you.

Reporting to the Data Platform Development Manager, you will be part of a team that maintains and expands KOHO's data engineering platform.

What You'll Be Doing
  • Assisting in the development and maintenance of batch data pipelines using AWS Glue, Lambda, and Python

  • Writing and optimizing SQL queries for data transformation in Amazon Redshift

  • Supporting data quality checks and monitoring data pipeline health

  • Collaborating with Data Analysts and Data Scientists to understand data requirements

  • Documenting data pipelines, workflows, and technical processes

  • Learning and implementing best practices for code quality and data engineering standards

  • Participating in code reviews and team knowledge-sharing sessions

  • Troubleshooting data issues and assisting with incident resolution under guidance

Who You Are
  • Someone who has 0-2 years of professional experience working with data, or relevant internship/co-op experience, as well as:

    • Basic proficiency in Python and SQL

    • Familiarity with at least one AWS service (S3, Glue, Lambda, or Redshift)

    • Understanding of relational databases and data modelling concepts

    • Exposure to version control systems (Git)

    • Basic understanding of data pipeline concepts (ETL/ELT)

    • Ability to write basic scripts (Python or Bash)

    • Nice to have: Exposure to Apache Spark, Airflow, or Terraform

    • Nice to have: AWS Certified Cloud Practitioner or working towards AWS Certified Data Engineer - Associate

    • Nice to have: Familiarity with AI-powered development tools (GitHub Copilot, Claude, Cursor, etc.) to improve coding productivity or troubleshooting

    • Nice to have: Experience with financial data or understanding of fintech concepts

  • Someone who is curious, eager to learn, and passionate about building a career in data engineering

  • A strong communicator who asks thoughtful questions and seeks feedback

  • Detail-oriented with strong problem-solving skills

  • Comfortable working in a collaborative, fast-paced environment

Description de poste en françaisIngénieur·e de données junior
À propos du poste

On cherche un·e Ingénieur·e de données junior motivé·e pis soucieux·se du détail pour se joindre à notre équipe Plateforme de données pour un rôle en télétravail basé au Canada.
La personne retenue va soutenir le développement pis la maintenance de pipelines de données, aider avec les tâches d'intégration de données pis contribuer à assurer la qualité des données à travers notre plateforme fintech. Ce rôle offre une excellente opportunité d'apprendre d'ingénieur·es de données expérimenté·es tout en travaillant avec des technologies infonuagiques modernes pis en contribuant à des solutions de données concrètes. On valorise la curiosité pis l'envie d'apprendre, donc si t'es passionné·e par l'ingénierie des données, on aimerait avoir de tes nouvelles.
Relevant du Gestionnaire de développement de la plateforme de données, tu feras partie d'une équipe qui maintient pis étend la plateforme d'ingénierie de données de KOHO.

Ce que tu vas faire
  • Assister dans le développement pis la maintenance de pipelines de données par lots utilisant AWS Glue, Lambda pis Python

  • Écrire pis optimiser des requêtes SQL pour la transformation de données dans Amazon Redshift

  • Soutenir les vérifications de qualité des données pis surveiller la santé des pipelines de données

  • Collaborer avec les Analystes de données pis les Scientifiques de données pour comprendre les exigences en matière de données

  • Documenter les pipelines de données, les workflows pis les processus techniques

  • Apprendre pis implémenter les meilleures pratiques pour la qualité du code pis les standards d'ingénierie des données

  • Participer aux revues de code pis aux sessions de partage de connaissances de l'équipe

  • Résoudre des problèmes de données pis aider à la résolution d'incidents sous supervision

Qui tu es
  • Quelqu'un qui a 0-2 ans d'expérience professionnelle à travailler avec les données, ou une expérience de stage/coop pertinente, ainsi que :

    • Compétences de base en Python pis SQL

    • Familiarité avec au moins un service AWS (S3, Glue, Lambda ou Redshift)

    • Compréhension des bases de données relationnelles pis des concepts de modélisation de données

    • Exposition aux systèmes de contrôle de version (Git)

    • Compréhension de base des concepts de pipelines de données (ETL/ELT)

    • Capacité à écrire des scripts de base (Python ou Bash)

    • Atout : Exposition à Apache Spark, Airflow ou Terraform

    • Atout : Certification AWS Cloud Practitioner ou en voie d'obtenir la certification AWS Certified Data Engineer - Associate

    • Atout : Familiarité avec les outils de développement propulsés par l'IA (GitHub Copilot, Claude, Cursor, etc.) pour améliorer la productivité de codage ou le dépannage

    • Atout : Expérience avec les données financières ou compréhension des concepts fintech

  • Quelqu'un qui est curieux·se, avide d'apprendre pis passionné·e par bâtir une carrière en ingénierie des données

  • Un·e communicateur·trice solide qui pose des questions réfléchies pis recherche du feedback

  • Soucieux·se du détail avec de fortes compétences en résolution de problèmes

  • À l'aise de travailler dans un environnement collaboratif pis au rythme rapide

KOHO is for builders.

If you're energized by challenge, motivated by mission, and want to be part of a team that punches above its weight - we want to hear from you.

The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact and the People and Culture team will be happy to help.

AI Disclosure: KOHO uses artificial intelligence (AI) in certain aspects of its recruitment process to screen, assess, or select applicants. For any questions or concerns, please contact us at

Note: this posting is for an existing vacancy that we are seeking to fill.

#LI-Remote



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