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Added 1 month ago
Senior Software Engineer
Acceldata
Kitchener, ON
$100,000 to $140,000 CAD / year
Full-time
Extensive hands-on experience with advanced Java, Scala, or Python, developed and prepared project build models associated with Maven, Gradle, or SBT.
Added 1 month ago
Lead Software Engineer - Back End (FinTech) (Bangkok based - Relocation provided)
Agoda
Toronto, ON
Full-time
10+ years of experience with strong proficiency in Java, Kotlin, Scala, or C# with a proven track record of developing high-performance applications in production settings. Insightful…
Added 1 month ago
Big Data Developer
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 USD / year
Full-time
Strong experience with Spark (PySpark/Scala) and Hadoop.
Added 1 month ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, ON
Full-time
Proficiency in at least one production-grade language such as Python, Java, Scala, Kotlin, Go, C#, or similar.
Added 11 days ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 13 days ago
Data Engineer
Scotiabank
Toronto, ON
Working knowledge of Java and/or Scala, especially in Spark or big data processing environments.
Added 1 month ago
Principal Investigator, AI Hub
Durham College
Oshawa, ON
Added 2 months ago
Solutions Architect
Databricks
Toronto, ON
Full-time
Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
Added 17 days ago
Staff Software Engineer, Product Risk
Stripe
Toronto, ON
Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
Added 2 months ago
Forward Deployed Engineer
Shakudo
Toronto, Ontario
Full-time
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Added 3 months ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
$150,000 to $190,000 CAD / year
Full-time
Proficiency in at least one production-grade language such as Python, Java, Scala, Kotlin, Go, C#, or similar.
Added 3 months ago
Principal Platform Engineer, Machine Learning
RAVL
Toronto, Ontario
Full-time
Strong backend engineering (Python/Scala/Java)
Added 3 months ago
Data Engineer
RAVL
Toronto, Ontario
Full-time
roficiency in SQL and one or more programming languages (Python, Java, or Scala)
Added 1 month ago
Solutions Architect
Databricks
Toronto, ON
Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
Added 9 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 3 months ago
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
Full-time
Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
Added 9 days ago
Java Developer
Genpact
Montreal, QC
Full-time
Can work on a collaborative cross-technology team where Java, APIs (services), PL/SQL interact with a range of business logic interfaces & systems.
Added 11 days ago
Associate, Data Engineer
BMO
Toronto, ON · FCP
· Strong programming skills in Python, Scala, or Java, with a passion for learning new technologies.
Added 10 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 10 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.

Forma.ai

Senior Back End Engineer (Data Platform)

Toronto, ON, Canada

Pay: Salary Range: 150-190K CAD
Job type: Full-time
Apply by: Dec 22, 2026
Posting language: English
Posted: Aug 1, 2026

Apply About employer

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Original job description

About Forma.ai:

Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk.

Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy.

We’re welcoming equally driven individuals who are excited about creating something big!

About the Team

Engineers on this team build our rules-based calculation engine for processing sales commissions. This might sound simple if you have never been exposed to sales compensation plans, it is not.

We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in PST and Central as well. We are still evolving many areas of the platform, which means there is meaningful room to improve the design, reliability, and scalability of the systems we build.

What you’ll be doing

Reporting to the Manager of Data Platform, you will play an important role in the evolution of our Spark-based data platform. You’ll design and build data-rich platform capabilities, contribute to system design discussions, and help ensure our data systems remain reliable, maintainable, and scalable as Forma grows.

As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases, asking thoughtful questions, and proposing improvements that strengthen the quality and reliability of the platform.

You will:

Design, build, and improve Spark-based data pipelines and platform services.
Work with complex data models representing sales compensation plans, hierarchies, relationships, and enterprise datasets.
Build reliable, deterministic data systems that customers and internal teams can trust.
Improve testing, observability, data quality, and production reliability across the systems you work on.
Partner with Product, Engineering, and Analytics to translate complex business requirements into scalable data designs.
Participate in design reviews, code reviews, technical discussions, and knowledge sharing.
Use AI tooling to improve delivery speed while maintaining strong engineering standards.

What we’re looking for

Strong experience building data systems or backend systems in production.
Experience with Spark or similar data processing / ETL frameworks.
Proficiency in at least one production-grade language such as Python, Java, Scala, Kotlin, Go, C#, or similar.
Strong SQL, relational schema design, and data modeling skills.
Experience with large-scale, hierarchical, graph-like, relationship-heavy, or workflow-driven datasets.
Ability to reason through technical tradeoffs, identify risks, and propose practical improvements.
Experience improving scalability, reliability, observability, or maintainability in data-intensive systems.
Strong communication skills and comfort collaborating across Engineering, Product, and Analytics.

Nice to have

Experience building SaaS products for mid-market or enterprise customers.
Experience with rule-driven systems, validation workflows, calculation engines, or approval/governance platforms.
Familiarity with AWS-based infrastructure and Kubernetes.
Familiarity with graph databases or graph-based modeling concepts.
Exposure to Sales Performance Management, RevOps, Incentive Compensation, or related domains.

Technologies we use

Frontend: JavaScript, React, TypeScript

Backend: Java/Spring Boot, Django, Postgres

Data Platform: Spark

Infrastructure: AWS, Docker

What success looks like: 30/60/90 daysFirst 30 days

You’ll focus on building context across Forma’s product domain, data platform, calculation engine, data models, and engineering practices.

By the end of your first 30 days, you will have:

Set up your development environment and become comfortable navigating the codebase, data platform, services, and infrastructure.
Built a clear understanding of the product domain, Spark-based data flows, and key data models.
Learned the team’s practices around testing, observability, deployment, data quality, and reliability.
Built relationships with Engineering, Product, and Analytics partners.
Shipped small improvements or fixes to build familiarity with the system.

First 60 days

You’ll begin owning meaningful data platform work and contributing to technical decisions.

By the end of your first 60 days, you will have:

Taken ownership of a data pipeline, platform component, workflow, or feature area.
Designed and delivered maintainable data platform code aligned with team standards.
Partnered with Product, Engineering, and Analytics peers to translate requirements into scalable data designs.
Identified risks, edge cases, data quality issues, or inconsistencies in the systems you work on.
Contributed to improvements in data modeling, pipeline reliability, testing, observability, or service boundaries.

First 90 days

You’ll be operating as a trusted senior contributor within the team.

By the end of your first 90 days, you will have:

Designed and delivered a meaningful data platform initiative or major feature.
Improved important data models, Spark pipelines, platform services, or workflow handling.
Contributed to technical direction through clear, well-reasoned design decisions.
Improved the reliability, observability, scalability, or maintainability of data-intensive systems.
Helped the team deliver complex calculation and data workflows with greater confidence and clarity.

Additional Job Info:

This position is for an existing vacancy
Salary Range: 150-190K CAD

What you can expect from us

Meaningful compensation. In addition to your base salary, you’ll join our employee stock ownership plan to further recognize your contributions to Forma.ai’s success.

Healthcare coverage. We have a full benefits package that includes medical, dental, vision, disability and life insurance, and a paid parental leave program.

Learning and development. Access the resources you want to help you grow in your role by utilizing our $750 yearly training stipend.

Growth. You’ll have a huge opportunity to build a career for yourself and gain the type of experience you’re looking for, whether that’s as an individual contributor or as a people leader.

Our Values:

Work well, together. We’re real. We have kids and pets. Mortgages and student loans. We’re in this together, so no matter how brilliant any one of us is, we always play nice with one another – no exceptions.
Be precise. Be relentless. We believe complacency breeds failure, so we set new goals as quickly as we achieve them. We persist in the face of adversity, learn from our mistakes, and push each other to continuously improve. The status-quo is kryptonite.
Love our tech. Love our customers. Our platform solves a very complex problem in a currently underserved market. While everyone at Forma isn’t customer-facing, we’re all customer-focused. Maybe even slightly customer-obsessed.

Use of AI for Recruitment

Currently, Forma.ai does not use artificial intelligence as part of our recruitment process, specifically but not limited to the screening, filtering and shortlisting of applicants.

Our commitment to you:

Forma is a proud equal opportunity employer that is committed to creating a diverse and inclusive work environment. Every effort to accommodate candidates for accessibility will be made upon request. Information received related to accommodations will be addressed confidentially. We know that applying to a new role takes a lot of effort. You're encouraged to apply even if your experience doesn't precisely match the job description. There are many paths to a successful career and we’re looking forward to reading yours.

We thank all candidates for their interest however only qualified applicants will be shortlisted.

Apply About employer

More about this job

Responsibilities

Design and build Spark-based data pipelines and platform services to support a rules-based calculation engine for sales commissions. Collaborate with Product and Analytics teams to translate complex business requirements into scalable and reliable data designs.

Requirements

Requires strong experience building production-grade backend or data systems using Spark and languages like Python or Java. Proficiency in SQL, data modeling, and handling large-scale hierarchical or relationship-heavy datasets is essential.

Skills

Spark
Python
Java
Scala
Kotlin
Go
C#
SQL
Data Modeling
Relational Schema Design
ETL Frameworks
AWS
Kubernetes
Docker
Spring Boot
Django

Benefits

Employee Stock Ownership Plan
Medical Insurance
Dental Insurance
Vision Insurance
Disability Insurance
Life Insurance
Paid Parental Leave
Yearly Training Stipend

Visa sponsorship

Not detected in the job text

Keywords

Spark
Data Platform
ETL
Python
Java
Scala
Kotlin
Go
C#
SQL
Data Modeling
AWS
Kubernetes
Docker
Spring Boot
Django
Postgres
SaaS
Sales Performance Management
RevOps
Incentive Compensation
Calculation Engine
Data Pipelines
Observability
Scalability
Graph Databases
Backend Engineering
Data Intensive Systems
Enterprise Software
Software Development

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