Staff Software Engineer
- Toronto, ON, Canada
$167,548 - $209,435 CAD · Full-time
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Job details
- Pay
- $167,548 - $209,435 CAD
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About The Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We're seeking an enthusiastic Staff Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our NoSQL data pipeline services.
This is a full-time position based out of Fivetran's Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.
Technologies You'll Use
- Java
- NoSQL Databases (MongoDB, Amazon DynamoDB, Azure Cosmos DB, Elasticsearch, Firebase)
- Relational Databases (Db2 z/OS, CockroachDB)
- GCP, Azure, AWS
- Bazel, Github
- Claude Code, ChatGPT Codex
- Write and deliver code reliably, along with automated tests (unit and integration).
- Optimize critical parts of the code.
- Lead team projects. Identify risks and break down projects into tasks for one or more engineers with effort estimates.
- Drive innovation by experimenting with new technologies and problem solving approaches.
- Independently create technical designs for major features while actively seeking feedback.
- Write common components to be used within the team or department.
- Mentor engineers on improving all aspects of their code, according to established coding practices.
- Resolve customer issues in collaboration with customer support.
- Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring.
- Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations.
- Expert in Java development
- Experience developing reliable software with high-volume data management under strict SLAs
- Experience working with popular cloud platforms (e.g. AWS, GCP, Azure)
- Expert in database internal architecture (e.g. you can explain how a database internally responds to particular events and requests)
- Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB)
- Knowledge of and appreciation for clean code practices
- Leverages and keeps up with the frontier of agentic AI development
- Experience working with MongoDB and/or Amazon DynamoDB change data capture
- Experience developing data integration tools (ETL or ELT)
- Experience identifying and optimizing performance bottlenecks in distributed systems
Ontario Pay Range
$167,548 - $209,435 CAD
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
- May vary by country and worker type - please reach out to your recruiter for more information
We're honored to be valued at over $5.6 billion, but more importantly, we're proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran's culture and what it's like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
More about this job
Responsibilities
Develop and optimize reliable Java-based NoSQL data pipeline services, including delivering tested code, improving performance and architecture, and building new features. Lead technical projects and designs, mentor engineers, resolve customer issues, and contribute across the software development lifecycle using AI coding agents where appropriate.
Requirements
Candidates should have expert Java development skills, experience building reliable high-volume data systems under strict SLAs, and expertise in database internals and popular cloud platforms. Knowledge of NoSQL databases and clean code practices is expected; experience with MongoDB or DynamoDB change data capture, ETL/ELT tools, or distributed-system performance optimization is a bonus.
Skills
- Java
- NoSQL Databases
- Database Architecture
- Cloud Platforms
- Distributed Systems
- High-Volume Data Management
- Performance Optimization
- Software Architecture
- Automated Testing
- Clean Code Practices
- Data Integration
- Change Data Capture
- Technical Design
- Project Leadership
- Agentic AI Development
Benefits
- Employer-Paid Medical Insurance
- Paid Vacation
- Paid Sick Time
- Parental Leave
- Paid Holidays
- Volunteer Days
- RSU Stock Grants
- Professional Development and Training
- Free Food
- Monthly Cell Phone Stipend
- Mental Health Support
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Data & Analytics
- Management & Leadership
Keywords
- Java
- MongoDB
- Amazon DynamoDB
- Azure Cosmos DB
- Elasticsearch
- Firebase
- Db2 z/OS
- CockroachDB
- Google Cloud Platform
- Microsoft Azure
- Amazon Web Services
- Bazel
- GitHub
- Claude Code
- ChatGPT Codex
- NoSQL
- Relational Databases
- Data Pipelines
- Change Data Capture
- ETL
- ELT
- Distributed Systems
- High-Volume Data Management
- Strict SLAs
- Automated Testing
- Performance Optimization
- Database Internals
- Agentic AI
- Technical Design