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Added 1 month ago
PC
Salesforce Technical Manager
Pwc Canada
Vancouver, BC · Toronto, ON
- Full-time
One or more Salesforce Developer certifications: Platform Developer I & II, Application Architect, System Architect, or Technical Architect
Added 2 months ago
PC
Financial Crimes Technology Manager
Pwc Canada
Toronto, ON
- Full-time
Strong SQL T-SQL, Oracle PL/SQL, Python, R, and database technologies
Added 2 months ago
Associate Director - Salesforce Marketing Cloud
MAP
Toronto, ON
…means having an extensive knowledge of technologies such as SQL, XML, JSON, JavaScript, HTML, and CSS as well as knowledge of one or more programming…
Added 3 months ago
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Salesforce Technical Manager
PwC
Vancouver, British Columbia · Toronto, Ontario
- Full-time
One or more Salesforce Developer certifications: Platform Developer I & II, Application Architect, System Architect, or Technical Architect
Added 6 months ago
Data Scientist
Opendoor
Toronto, Ontario
Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
Added 4 months ago
Développeur génie logiciel / Junior Software Developer – Canada (Montreal)
mthree Recruiting Portal
Montreal, Quebec
Connaissance des concepts de base de données (SQL, stored procs, schema design)
Added 6 months ago
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Spécialiste service client dédié / Dedicated Client Care Specialist
Genetec
Remote, Canada
- Full-time
- Remote
Expérience de travail avec les bases de données SQL
Added 2 months ago
Manager, Engineering - AI/BI
Databricks
Vancouver, BC
…lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day…
Added 2 months ago
Senior Automation Engineer
ATS Automation
Montreal, Quebec
Knowledgeable in relational databases and programming languages such as Ladder Logic, Functional Block Diagram, Structured Text, Python, C#/C++, MS SQL, etc.,
Added 1 month ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
…platforms and applications. The ideal candidate is a strong developer who can apply AI, automation and engineering best practices to accelerate delivery, improve platform reliability,…
Added 1 month ago
AI and Data - Manager - Solution Architect/Tech Lead
EY
Ottawa, ON · Toronto, ON
Experience with databases and data warehouse platforms such as SQL Server, Oracle, DB2,
Added 6 months ago
Implementation Associate
Forma.ai
Toronto, Ontario
Added 2 months ago
Staff Software Engineer - Fullstack
Databricks
Vancouver, BC
Added 2 months ago
Senior Software Engineer - Fullstack
Databricks
Vancouver, BC
Added 2 months ago
Staff Software Engineer - Backend
Databricks
Vancouver, BC
Added 2 months ago
Senior Software Engineer - Backend
Databricks
Vancouver, BC
Added 1 month ago
Analyst - Funds & Asset Management - Toronto
Fitch Group
Toronto, ON
Knowledge of SQL, VBA, and/or other programming languages
Added 1 month ago
Senior Analyst - Funds & Asset Management - Toronto
Fitch Group
Toronto, ON
Knowledge of SQL, VBA, and/or other programming languages
Added 1 month ago
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Systems Designer
Grantek Systems Integration
Burlington, ON
- Full-time
…High-level software solution design (involving C#, HTML5, .NET, SQL, VB, VBA, and more). All junior team members will enter our mentoring program, where they will work directly beside our…
Added 4 months ago
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Montreal, Senior Software Developer - AI Platform
Terzo Technologies
Montreal, Quebec
- Full-time
…Terzo Data Science team is seeking a skilled Senior Software Developer with a passion for designing and building innovative solutions. You will have the opportunity to work on a…

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Databricks

Senior Software Engineer - Backend

Vancouver, BC, Canada

$146,200 - $201,100 CAD

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Job details

Pay: $146,200 - $201,100 CAD
Experience: 5+ years of production level experience in either Java, Scala or C++.
Posting language: English
Posted: Aug 18, 2026

Original job description

P-1440

Databricks is on a mission to simplify and democratize data and AI - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack.
Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps - and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

BS (or higher) in Computer Science, related technical field or equivalent practical experience.
Comfortable working towards a multi-year vision with incremental deliverables.
Motivated by delivering customer value and impact.
5+ years of production level experience in either Java, Scala or C++.
Strong foundation in algorithms and data structures and their real-world use cases.
Experience developing large-scale distributed systems.
Experience working on a SaaS platform or with Service-Oriented Architectures.
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
Experience with security and systems that handle sensitive data.
Good knowledge of SQL.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Canada Pay Range

$146,200 - $201,100 CAD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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More about this job

Responsibilities

The Senior Software Engineer will work on building and running data and AI infrastructure platforms. They will tackle technical challenges across various strategic areas including log analytics, AI/BI, and data governance.

Requirements

Candidates should have a BS in Computer Science or equivalent experience and at least 5 years of production-level experience in relevant programming languages. A strong foundation in algorithms, data structures, and experience with distributed systems is also required.

Skills

Java
Scala
C++
Algorithms
Data Structures
Distributed Systems
Databases
Big Data
Apache Spark
Hadoop

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