Senior Java Data Engineering Developer

Canada·MontréalFull Timesenior

EngineeringData Engineering

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Overview

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build,

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EngineeringData Engineering

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.

As part of this team, you will be undertaking a large-scale migration from on-premise data infrastructure — including Teradata and legacy tooling — to a modern, cloud-first data platform built on Databricks and Snowflake. As part of this engagement, consultants will embed directly with the client's engineering team, contributing hands-on to the migration, modernization, and optimization of enterprise-scale backend and data processing systems.

Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols

Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets

Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)

Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Develop and maintain Java-based backend and data processing components

Support migration of legacy ETL pipelines to cloud-native architecture

Design, build, and optimize scalable data pipelines and services

Collaborate with engineering and architecture teams on modernization initiatives

Integrate modern cloud data technologies into the platform ecosystem

Troubleshoot and improve performance of backend services and ETL workflows

Participate in testing, deployment, and production support activities

Strong hands-on Java development experience

Experience with backend/distributed systems development

Solid experience with ETL pipelines and data engineering

Experience migrating on-prem platforms to cloud environments

Hands-on experience with Databricks

Experience with Snowflake or similar cloud data warehouse technologies

Strong understanding of cloud-first and distributed data architectures

Experience working in enterprise-scale environments

Experience with Teradata

Experience with Spark / big data technologies

Cloud platform experience (AWS, Azure, or GCP)

Experience in financial services environments

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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.

For employment opportunities based in Canada:

Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates.

*Must be legally eligible to work in Canada.