Cuesta Partners

Analytics Engineer

Canada

Sponsorship not specified$75k-$135kDetected 132 days ago

SnowflakeDatabricksCI/CDData EngineeringLeadershipCommunication

About the role

Collaborating closely with leadership, you will play a key role in ingesting data for strategic business domains that can benefit from analytical insights.
As the driving force behind the acquisition and transformation of data sets, your contribution will be key to unlocking analytics insights from our client's data.
We have multiple job openings and are considering hiring across seniority levels.

Work alongside our business consultants and product managers in engaging and partnering with client stakeholders in order to create effective and strategic solutions.
Establish close communication with team members to align best practices, exchange information effectively, and collaborate for continuous improvement.
Quickly triage and diagnose system or performance issues and support the business during critical downtimes and releases.
Establish relationships across the organization to build networks and leverage experts.

3+ years of relevant experience working with data, with specific experience in analytics and/or data engineering.
Significant development and querying experience in SQL.
Proficiency using Python.
Experience in working with Snowflake, Databricks, and/or Microsoft Fabric.
Experience in connecting and making data available for BI visualization tools or other downstream consumers.
Experience with hardening and maturing data ecosystems such as tests, alerts, observability, documentation, etc.
You must be located in Vancouver or Toronto.
Occasional though infrequent travel to the United States may be required for some critical sessions.

Expected salary range is $75,000-$135,000 CAD annually.
Actual compensation will be determined based on the candidate's experience, qualifications, and alignment with role expectations.
In addition to the base salary, there is typically an annual bonus of between 15-25% of salary.

This listing is sourced directly from Cuesta Partners's careers page and normalized into a canonical job model.