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Tucows is seeking a skilled Data Platform Engineer to join their remote-first team. This role involves building and maintaining reliable data systems, writing automation, and supporting data teams. Responsibilities include monitoring infrastructure, deploying code via Terraform and Kubernetes, writing Python automation, supporting access controls, contributing to data pipelines, and assisting with platform migration. The ideal candidate has 3+ years of experience in data/platform engineering, cloud fundamentals (AWS), Python, SQL, Terraform, CI/CD, Kubernetes, and observability.
Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.
We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!
Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd!
We’re looking for a curious, technically strong, and automation-minded Data Platform Engineer to join our Data Engineering team. This is a high-impact platform engineering role for someone who enjoys building reliable systems, writing maintainable automation, and helping data teams move faster, more safely, and with more confidence.
You’ll work at the intersection of data engineering, business intelligence, finance analytics, cloud infrastructure, governance, and AI-enabled decision support. What we’re really hiring for is strong engineering fundamentals, comfort with ambiguity, and the drive to apply those fundamentals across different systems.
We’re hiring an engineer who can pick up infrastructure work, governance work, or pipeline work as needed and help turn knowledge that currently lives in repos, configs, and people’s heads into durable platform practices. There will be a lot to learn here, even if you arrive experienced. That’s the appeal, not the catch.
Keep the data platform healthy: Monitor infrastructure and pipelines, respond to issues, troubleshoot failures from logs and metrics, and help identify root causes so we can prevent repeat problems.
Make infrastructure changes safely: Build, review, and deploy infrastructure through code using Terraform, AWS, Kubernetes or container-based deployment patterns, and CI/CD workflows.
Improve automation and tooling: Write Python, bash, and CI/CD automation that reduces manual toil, improves reliability, and makes common platform tasks safer and easier for the team.
Support access control and governance: Help design and operate role-based access control, least-privilege access, and governance controls across our cloud, warehouse, and BI platforms.
Contribute to data pipelines: Build, operate, and troubleshoot pipelines and transformations that power reporting, analytics, finance workflows, and data products across the company.
Support our platform migration: Help move workloads from our legacy stack to the modern data platform, including validation, cutover, and decommissioning work.
Document how things work: Write clear runbooks, platform documentation, and operational guides so knowledge is easier to share and the team is less dependent on any one person.
Use and improve AI-assisted engineering: Work with our Claude Code-based tooling, including agents, skills, hooks, and MCP integrations, and help shape how the team uses AI to improve engineering workflows.
Experience: 3+ years in data engineering, software engineering, DevOps, platform engineering, or a related technical role.
Cloud and DevOps fundamentals: Hands-on experience operating workloads in AWS or another major cloud provider, with a solid grasp of IAM, networking, compute, managed services, deployment patterns, and day-to-day cloud operations.
Python automation: Proficiency in Python for automation, internal tooling, platform workflows, or data engineering support.
SQL competency: Working knowledge of SQL. Advanced SQL is a plus, but not a prerequisite.
Infrastructure as Code: Hands-on experience with Terraform or another infrastructure-as-code tool, including code review, state-aware changes, environment management, and safe deployment practices.
CI/CD and Git workflows: Comfortable using Git-based development workflows, pull requests, automated testing, and CI/CD pipelines to ship changes safely.
Kubernetes and containerized workloads: Good working knowledge of Kubernetes and container-based deployments. You should be comfortable understanding deployments, pods, services, logs, configuration, and common failure modes. Experience with EKS is especially valuable.
Observability, Debugging and Operations: Skilled at using logs, metrics, and alerts to investigate failing systems, reason through incomplete information, and identify likely root causes.
Access control and governance mindset: Familiarity with RBAC, IAM, least-privilege access, or governance controls in at least one platform — cloud, warehouse, BI, or application-level systems.
Strong fundamentals and learning mindset: Attention to detail, curiosity, good judgment, and genuine eagerness to learn unfamiliar tools and systems.
Vendor & Incident Management: Experience working with vendor support, production incidents, severity-based escalation, and operational follow-through.
Operational Ownership: Willingness to participate in on-call and after-hours support as needed. You understand that reliable platforms require thoughtful operations, not just build work.
Remote collaboration: Clear written communication and the ability to work effectively with engineers, analysts, and data stakeholders in a remote-first team.
Cloud & Infrastructure: AWS, GCP, OpenStack, Terraform, Docker, Kubernetes, Helm
Data Platform: Snowflake, BigQuery, dbt, Airflow/MWAA, Kafka, DataHub
Ingestion & Legacy Systems: Fivetran, Stitch, Pentaho Data Integration
Observability: Prometheus, Grafana, CloudWatch
BI & Development Workflow: Looker, GitHub, Claude Code
The base salary range for this position is $90,700 - $113,400. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous bene
Experience with these tools is a plus, what matters most is that you bring strong engineering fundamentals, sound operational judgment, and the ability to learn quickly.
Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.
We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.
Tucows and its subsidiaries participate in the E-verify program for all US employees.
Learn more about Tucows, our businesses, culture and employee benefits on our site here.
