Senior Data Engineer

Coconut SoftwareFinancial technology

Opportunity to work remote - anywhere in Canada!ContractSenior

Salary125,000 - 165,000 CAD per year

Apply NowOpens the employer's application page

Job Details

Experience: 5+ years in data engineering, including 2+ years running Databricks in production
Required Skills: PythonSQLTerraformdbtDatabricks

Have 5+ years of data engineering experience, including 2+ years running Databricks in production.
Have production experience with Delta, Jobs, DLT/Lakeflow, and Unity Catalog.
Bring strong Python, SQL, and dbt skills.
Have experience replicating from operational databases using CDC or events, and ingesting messy files.
Have participated in at least one warehouse or lakehouse migration.
Be comfortable with AWS data services.
Have handled PII or regulated data; financial services experience is ideal.
Have hands-on experience with AI coding agents such as Claude Code for pipelines, dbt, debugging, or troubleshooting.
Have experience with Infrastructure-as-Code such as Terraform or DAB for managing data infrastructure.
Experience with LookML or embedded Looker is listed as an additional qualification.
Experience managing pipelines that feed forecasting or ML models is listed as an additional qualification.

Build and run production pipelines in Databricks using Lakeflow, Jobs, and dbt, from customer-file ingestion through tables for models and reporting.
Lead the next phases of the Redshift-to-Databricks migration, including landing source tables, moving product analytics onto the lakehouse, and retiring old warehouses.
Own replication and ingestion from production databases across multiple environments using AWS DMS, Databricks Lakeflow Connect, and Fivetran.
Build data residency and PII handling into replication and ingestion workflows.
Set data contracts with internal teams and external ML partners to prevent downstream breakage from schema changes.
Provide product teams with effort estimates and trade-offs, and push back on scope when needed.
Monitor pipeline health, data quality, and Databricks cost, and participate in the Data on-call rotation.
Document runbooks, lineage, and design decisions so the team can manage the systems.

View Full Description & ApplyYou'll be redirected to the employer's site