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Added 9 days ago
Regulatory/Financial Reporting Developer (Databricks, Snowflake, Axiom)
Axelon Services Corporation
Montreal, QC
$77.93 USD / hour
Other
Minimum 3 years of software development experience in Scala/Spark (Java).
Added 10 days ago
Senior Java Developer, TD Securities
TD
Toronto, ON
Full-time
We are looking for a motivated Senior Java Developer (Engineer I) to join our Trading Risk Warehouse platform team within TD Securities. The successful candidate will contribute to the…
Added 9 days ago
SimCorp Dimension (SCD) Specialist
Munich Re
Toronto, ON
Added 10 days ago
Senior Software Developer (Data & Backend Development)
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
Full-time
Proficiency in programming languages (we use Python, Java/Scala)
Added 9 days ago
Data Engineer
Synpulse
Toronto, ON
Proficiency in SQL and Python; knowledge of Spark, PySpark, Scala, or Java is a strong asset.
Added 10 days ago
Big Data Developer
Cognizant
Toronto, ON
$53,000 to $108,000 CAD / year
Full-time
Experience developing applications and APIs using Scala or Java.
Added 4 months ago
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
Internship
Collaborate with the field engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Added 4 months ago
Software Engineering Co-op
Acceldata
Kitchener, Ontario
Internship
Collaborate with the engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Added 10 days ago
Financial Reporting Developer
LanceSoft, Inc.
Montreal, QC
Contract
3+ years software development experience in Scala/Spark (Java)
Added 13 days ago
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
Full-time
Deep expertise in modern distributed data processing and ML engineering tools and languages (e.g., Python, Java/Scala, PySpark/Spark, Kafka, SQL, orchestration frameworks).
Added 11 days ago
Lead, Data Engineering
RBC
Toronto, ON
Full-time
Proficiency in writing and optimizing SQL queries and at least one programming languages like Java, Scala or Python
Added 11 days ago
Lead, Data Engineering
Royal Bank of Canada
Toronto, ON
Full-time
Proficiency in writing and optimizing SQL queries and at least one programming languages like Java, Scala or Python
Added 11 days ago
Sr. Lead Engineer, TD Securities
TD
Toronto, ON
Full-time
Strong experience with Hadoop, Spark, Parquet or similar Big Data technologies.
Added 12 days ago
Senior Data Engineer (Hadoop Migration)
Capgemini
Toronto, ON
Programming experience in at least two of the following languages: Scala, Java or Python
Added 2 months ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
Proficiency in at least one production-grade language such as Python, Java, Scala, Kotlin, Go, C#, or similar.
Added 3 months ago
Full-Stack Software Developer
Engineered Intelligence Inc.
Mississauga, Ontario
Full-time
The Position: Do our values align with you? Are you an experienced Full-Stack Software Developer looking to join a dedicated team working together to build rewarding careers and an…
Added 3 months ago
Engineering Manager, Data AI & Analytics
''
Toronto, Ontario
Full-time · Other
Proficiency in one or more languages such as Python, SQL, Java, Scala, Spark, or PySpark
Added 4 months ago
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
Internship
Collaborate with the field engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Added 1 month ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance…
Added 1 month ago
Staff Software Engineer - Backend
Databricks
Vancouver, BC
10+ years of production level experience in either Java, Scala or C++.
Added 1 month ago
Senior Software Engineer - Backend
Databricks
Vancouver, BC
5+ years of production level experience in either Java, Scala or C++.

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Databricks

Staff Software Engineer - Backend

Vancouver, BC, Canada

Pay: $173,400 - $238,350 CAD
Experience: 10+ years of production level experience in either Java, Scala or C++.
Posting language: English
Posted: Aug 18, 2026

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Original job description

P-1441

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.
10+ 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

$173,400 - $238,350 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 Staff Software Engineer will work on building and running data and AI infrastructure platforms, addressing technical challenges across various strategic areas. This includes log analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps.

Requirements

Candidates should have a BS or higher in Computer Science or a related field, with 10+ years of production-level experience in Java, Scala, or C++. A strong foundation in algorithms, data structures, and experience with distributed systems and big data systems is essential.

Skills

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

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