Software Dev, Data - Remote

Randstad Canada; Toronto; Remote; CAD 120,000 - 170,000; Full time

Job summary

Randstad Canada is seeking a Senior Software Developer, Data to join our Data team in the Engineering Department. You will own the systems and infrastructure the Data team relies on, including Snowflake infrastructure, CI/CD automation, developer environments, data quality frameworks, and the data catalog.

Collaborating with the Tech Lead and Data Analysts, you will ensure reliable data delivery, codified infrastructure, and fast delivery of data products to support business needs with a

Qualifications

• 5+ years in software engineering, with at least 2 years on data platforms or data infrastructure.
• Experience with a cloud data warehouse (Snowflake, BigQuery, or Redshift).
• Experience using Infrastructure as Code tools such as Terraform to manage cloud infrastructure.
• Proficiency in at least one programming language (JavaScript/TypeScript preferred; Python is a bonus).
• Experience with data ingestion platforms such as Fivetran or Airbyte.
• Strong engineering fundamentals—version control, code reviews, and reproducible builds.
• Experience implementing secure data practices to adhere to compliance standards.

Responsibilities

• Build and maintain internal tooling for the data team, including CLIs, automation scripts, dashboards, and productivity tools.
• Support deployment and production readiness of the team's conversational analytics product, including CI/CD pipelines.
• Define and manage Snowflake infrastructure as code via Terraform, including provisioning, access controls, and performance tuning.
• Extend and improve the data catalog (OpenMetadata) for discoverability and trust across the organization.
• Own data quality infrastructure and develop tests, monitoring, and alerts for data freshness and completeness.
• Establish reproducible local and development environments to minimize friction for team members.
• Collaborate with Tech Lead to design data platform architecture aligned with security and scalability requirements.
• Maintain a security-first approach to access patterns, credentials, and audit logging.

Skills

Software engineering

Data platforms

CI/CD

Security best practices

JavaScript/TypeScript

Education

University degree in Engineering or Computer Science

Tools

Terraform

Snowflake

Docker

Kubernetes

OpenMetadata

Fivetran

Airbyte

Job description

We are looking for a Senior Software Developer, Data to join our Data team in the Engineering Department!

The Senior Software Developer, Data is a senior-level individual contributor, reporting to the Team Lead, Data. In this role you will own the systems and infrastructure that the Data team depends on to operate effectively — including warehouse infrastructure, CI/CD automation, developer environments, data quality frameworks, and the data catalog.

Working closely with the Tech Lead and Data Analysts, the Senior Software Developer, Data ensures that data arrives in Snowflake reliably, that infrastructure is managed as code, and that the team can move fast without accumulating operational debt. This role is platform-first: the output is a foundation that makes the rest of the Data team faster, more reliable, and better equipped to build data products that serve the business.

Advantages

Nice to Have:

• Experience with Snowflake administration (RBAC, resource monitors, performance tuning).
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Experience with data catalog tooling (e.g. OpenMetadata, DataHub, Atlan, or similar).
• Experience with data observability tooling.

Responsibilities

• Build and maintain internal tooling for the data team — CLIs, automation scripts, observability dashboards, and developer productivity tools.
• Contribute to the development and deployment of the team's conversational analytics product — supporting infrastructure, CI/CD, and production readiness.
• Define and manage Snowflake infrastructure as code via Terraform — including provisioning, access controls, resource monitors, and performance tuning.
• Extend, maintain, and improve the team's data catalog (OpenMetadata) — ensuring data assets are documented, discoverable, and trusted across the organization.
• Own data quality infrastructure — build and maintain frameworks for testing, monitoring, and alerting on data freshness, completeness, and correctness.
• Build and maintain CI/CD workflows for dbt model deployment, schema validation, data quality checks, and automated testing.
• Establish and maintain reproducible local and development environments so every team member can work effectively without friction.
• Collaborate with the Tech Lead to design and implement data platform architecture in alignment with the team's technical strategy and the company's security and scalability requirements.
• Approach all engineering work with a security-first mindset; ensure access patterns, credentials, and audit logging are codified and version-controlled.
• Perform code reviews, ensure pull requests reflect acceptance criteria, and uphold engineering standards across the team's platform codebase.
• Perform other duties as assigned.

Qualifications

• University degree or college diploma in a recognized technical, vocational or academic program (preferably in Engineering or Computer Science) or equivalent work experience.
• 5+ years in software engineering, with at least 2 years focused on data platforms or data infrastructure.
• Experience with a cloud data warehouse (e.g. Snowflake, BigQuery, Redshift).
• Experience using Infrastructure as Code tools such as Terraform to manage cloud infrastructure.
• Proficiency in at least one programming language (JavaScript/TypeScript preferred; Python also valuable).
• Experience with data ingestion platforms such as Fivetran or Airbyte.
• Strong engineering fundamentals — version control discipline, code review, reproducible builds.
• Experience implementing secure data practices to adhere to compliance standards.

Summary

Nice to Have:

• Experience with Snowflake administration (RBAC, resource monitors, performance tuning).
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Experience with data catalog tooling (e.g. OpenMetadata, DataHub, Atlan, or similar).
• Experience with data observability tooling.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [e-mail] to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.