As a Senior Data Engineer at FreshBooks, you will design and build scalable data pipelines on GCP, partner with multiple teams, and mentor engineers.
As a Senior Data Engineer (Platform) at Freshbooks, you will help shape the future of FreshBooks’ data engineering infrastructure and processes within the R&D organization. You will design and build scalable, reliable data pipelines and platforms on modern cloud infrastructure to power analytics, operations, and machine learning use cases. You will partner closely with Product, Data Analytics, Machine Learning, Platform, Infrastructure, and Security teams to deliver high-quality data solutions across the full data lifecycle. You will contribute to engineering standards, reliability practices, and incident response while mentoring other engineers. This role is ideal for someone who enjoys solving complex data challenges and raising the bar for engineering excellence.
NOTE: This role can be worked remotely from the above location.
What You’ll Do
- Design, build, and operate batch and streaming data pipelines on GCP using Airflow (Cloud Composer), dbt, Datastream, Fivetran, Pub/Sub, Dataflow, BigQuery, and Cloud Functions
- Build event-driven and near real-time ingestion and transformation workflows to support analytics, operations, and ML workloads
- Develop and operate ML data and serving infrastructure using Vertex AI, Kubeflow, Cloud Run, and Cloud Composer for batch and real-time predictions
- Implement CI/CD pipelines and infrastructure as code using tools such as GitHub Actions, Azure Pipelines, Terraform, and Terraspace
- Drive observability, monitoring, alerting, security, and access controls using OpenTelemetry and cloud-native services
- Partner with Product, Data Analytics, Machine Learning, Engineering, Platform, Infrastructure, and Security teams to design scalable, secure, and cost-efficient data systems
- Lead design and code reviews, contribute to engineering standards, incident management practices, and mentor junior and mid-level engineers
What You’ll Bring
- 5+ years of experience designing, building, and operating data pipelines and data platforms
- Strong experience with batch and near real-time data processing and streaming architectures
- Hands-on expertise with Google Cloud Platform or another major cloud provider (AWS or Azure) and cloud data warehouses (BigQuery, Snowflake, Redshift)
- Expert SQL skills and strong programming experience in Python or similar languages
- Experience with orchestration tools (Airflow or equivalent), CDC technologies, and event-driven systems
- Experience with DevOps and IaC tooling (Docker, Kubernetes, Terraform, Jenkins, Git, CI/CD pipelines)
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders
You’ll Stand Out If You Have
- Strong foundations in networking, cloud security, and access management (VPCs, IAM, ZTNA, DMZ)
- A track record of staying current with modern data engineering platforms and best practices
- Experience in SaaS or fintech environments
#LI-SR1 #LI-Remote
At FreshBooks, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
The total compensation for this role ranges from CA$128,000 - CA$160,000 per year, which may include participation in our incentive programs. Additionally, this position offers an equity grant and immediate enrollment in FreshBooks' comprehensive benefits program, detailed below.
NOTE: This posting is reflective of an existing vacancy at FreshBooks.
Top Skills
Airflow
Azure Pipelines
BigQuery
Cloud Composer
Cloud Functions
Dataflow
Datastream
Dbt
Docker
Fivetran
GCP
Github Actions
Jenkins
Kubernetes
Opentelemetry
Pub/Sub
Python
SQL
Terraform
Terraspace
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