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Senior Java Data Engineering Developer

Bounteous · Montreal, QC · Hybrid · Active · Lever

Job facts

FieldValue
CompanyBounteous
TitleSenior Java Data Engineering Developer
Normalized title-
Department / teamData & AI & Cloud / Technology: Development
LocationMontreal, QC, Canada
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-06-10 / 2026-06-11
Changed / last seen2026-06-11 / 2026-06-19

Related slices

PageWhat it containsOpen
Company jobsActive postings from Bounteous.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Montreal.Open
Department jobsActive postings in Data & AI & Cloud.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBounteous
Sourcec1f0d19a-a76c-4ce6-ac04-d70aa9734464
ATS providerLever

Description

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. 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. We invite you to stay connected with us by subscribing to our monthly job openings alert here. 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. Information Security Responsibilities 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 Responsibilities: 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 Required Skills: 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 Nice to Have: Experience with Teradata Experience with Spark / big data technologies Cloud platform experience (AWS, Azure, or GCP) Experience in financial services environments

Full job record

Job ID34dd4afd3f65d6b95ecee7cbfcb7ae71f594cc54
Org IDda767577-f807-4e9d-957a-9c910a177f3e
Source IDc1f0d19a-a76c-4ce6-ac04-d70aa9734464
Board IDc1f0d19a-a76c-4ce6-ac04-d70aa9734464
Providerlever
Provider Job Keye1fae5cd-1b59-4987-9835-3e658912ae20
TitleSenior Java Data Engineering Developer
Normalized Title
Statusactive
Activeyes
Location TextMontreal, QC
DepartmentData & AI & Cloud
TeamTechnology: Development
Employment TypeFull Time
Workplace Typehybrid
Remote Policyhybrid
CountryCanada
RegionQC
CityMontreal
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/bounteous/e1fae5cd-1b59-4987-9835-3e658912ae20
Apply URLhttps://jobs.lever.co/bounteous/e1fae5cd-1b59-4987-9835-3e658912ae20/apply
First Seen At2026-06-11 07:57:55Z
Last Seen At2026-06-19 07:57:06Z
Last Checked At2026-06-19 07:57:06Z
Last Changed At2026-06-11 07:57:55Z
Inactive At
Source Posted At2026-06-10 19:25:51Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=bounteous/date=2026-06-19/2026-06-19T07-57-05-717Z-654efb7ea90dc8799330876bc6fdf330eb7035ee19ada728daf4cd4220313507.json
Event Fields
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  "last_changed_at": "2026-06-11T07:57:55.256Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Montreal, QC",
    "city": "Montreal",
    "region": "QC",
    "country": "Canada",
    "is_remote": false,
    "confidence": 0.9
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  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-19T07:57:06.371Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
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      "city": "Montreal",
      "region": "QC",
      "country": "Canada",
      "is_remote": false,
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  "remote_policy": "hybrid",
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  "workplace_type": "hybrid",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Information Security Responsibilities",
      "content": "<li>Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols</li><li>Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets</li><li>Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)</li><li>Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information</li>"
    },
    {
      "text": "Responsibilities:",
      "content": "<div>\n\n<li>Develop and maintain Java-based backend and data processing components</li>\n<li>Support migration of legacy ETL pipelines to cloud-native architecture</li>\n<li>Design, build, and optimize scalable data pipelines and services</li>\n<li>Collaborate with engineering and architecture teams on modernization initiatives</li>\n<li>Integrate modern cloud data technologies into the platform ecosystem</li>\n<li>Troubleshoot and improve performance of backend services and ETL workflows</li>\n<li>Participate in testing, deployment, and production support activities</li>\n\n</div>"
    },
    {
      "text": "Required Skills:",
      "content": "<div>\n\n<li>Strong hands-on Java development experience</li>\n<li>Experience with backend/distributed systems development</li>\n<li>Solid experience with ETL pipelines and data engineering</li>\n<li>Experience migrating on-prem platforms to cloud environments</li>\n<li>Hands-on experience with&nbsp;<span data-markjs=\"true\">Databricks</span></li>\n<li>Experience with Snowflake or similar cloud data warehouse technologies</li>\n<li>Strong understanding of cloud-first and distributed data architectures</li>\n<li>Experience working in enterprise-scale environments</li>\n\n</div>"
    },
    {
      "text": "Nice to Have:",
      "content": "<div>\n\n<li>Experience with Teradata</li>\n<li>Experience with Spark / big data technologies</li>\n<li>Cloud platform experience (AWS, Azure, or GCP)</li>\n<li>Experience in financial services environments</li>\n\n</div>"
    }
  ],
  "country": "CA",
  "createdAt": 1781119551285,
  "updatedAt": null,
  "categories": {
    "team": "Technology: Development",
    "location": "Montreal, QC",
    "commitment": "Full Time",
    "department": "Data & AI & Cloud",
    "allLocations": [
      "Montreal, QC"
    ]
  },
  "salaryRange": null,
  "workplaceType": "hybrid"
}
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