Senior Java Data Engineering Developer

Bounteous; Montreal (administrative region); On-site; CAD 90,000 - 130,000; Full time

Job summary

Bounteous is seeking a data engineering professional to join its Canada team, driving a migration from on-premise data infrastructure to a modern cloud-first platform built on Databricks and Snowflake. You will embed with the client’s engineering team to migrate, modernize, and optimize enterprise-scale backend and data processing systems.

Key activities include building scalable data pipelines, migrating legacy ETL workflows, and collaborating with architecture teams on modernization

Qualifications

• Proven Java development experience in backend systems.
• Strong ETL and data engineering capabilities.
• Experience migrating on-prem data to cloud-native platforms.

Responsibilities

• Develop Java backend and data processing components.
• Migrate legacy ETL pipelines to cloud-native architecture.
• Design and optimize scalable data pipelines and services.
• Collaborate with engineering/architecture on modernization initiatives.
• Integrate modern cloud data technologies into platform ecosystem.
• Troubleshoot and improve backend/ETL performance.
• Participate in testing, deployment, and production support.

Skills

Java development

Backend systems

ETL pipelines

Databricks

Snowflake

Cloud platforms

Distributed systems

Data engineering

Tools

Databricks

Snowflake

Teradata

Spark

Job description

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

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.