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 protocolsIdentify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assetsUnderstand 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 informationDevelop and maintain Java-based backend and data processing componentsSupport migration of legacy ETL pipelines to cloud-native architectureDesign, build,



and optimize scalable data pipelines and servicesCollaborate with engineering and architecture teams on modernization initiativesIntegrate modern cloud data technologies into the platform ecosystemTroubleshoot and improve performance of backend services and ETL workflowsParticipate in testing, deployment, and production support activitiesStrong hands-on Java development experienceExperience with backend/distributed systems developmentSolid experience with ETL pipelines and data engineeringExperience migrating on-prem platforms to cloud environmentsHands-on experience with DatabricksExperience with Snowflake or similar cloud data warehouse technologiesStrong understanding of cloud-first and distributed data architecturesExperience working in enterprise-scale environmentsExperience with TeradataExperience with Spark / big data technologiesCloud platform experience (AWS, Azure, or GCP)Experience in financial services environmentsBounteous is proud to be an equal chance 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.

📌 Senior Java Data Engineering Developer (Montreal)
🏢 Bounteous
📍 Montreal