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Data Engineer

  • Engineer, BC
  • On-site
  • Posted Oct 11, 2026
  • 1 position

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Employment type
Full-time
Experience level
Mid-level · 2+ years
Apply by
Nov 9, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level

Job summary

Design dimensional models and ELT pipelines for client analytics workloads, and build dbt projects with tests, documentation, and CI. Optimize warehouse cost and performance as data volumes grow, while working with client analysts to create usable data marts.

Job details

The role Build warehouses and pipelines for clients moving off spreadsheet-and-export reporting: dbt, Snowflake or BigQuery, and the orchestration around them. What you'll do Design dimensional models and ELT pipelines for client analytics workloads Implement dbt projects with tests, documentation, and CI Tune warehouse cost and performance as data volume grows Work directly with client analysts to shape usable data marts What we're looking for 4+ years building production data pipelines Strong SQL plus Python; dbt experience strongly preferred Experience with at least one of Snowflake, BigQuery, Redshift, or Databricks Posted June 18, 2026 Apply for this role Attach your resume; everything else is optional. Full name Email Phone (optional) ResumeChoose filePDF, DOC, DOCX, TXT, or RTF up to 8 MB Anything else? (optional)

What you’ll do

Design dimensional models and ELT pipelines for client analytics workloads, and build dbt projects with tests, documentation, and CI. Optimize warehouse cost and performance as data volumes grow, while working with client analysts to create usable data marts.

Requirements

Requires at least four years of experience building production data pipelines, along with strong SQL and Python skills. dbt experience is strongly preferred, and candidates should have experience with at least one of Snowflake, BigQuery, Redshift, or Databricks.

Listed skills

  • SQL · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Data Engineering
  • SQL
  • Python
  • dbt
  • Snowflake
  • BigQuery
  • Redshift
  • Databricks
  • Dimensional Modeling
  • ELT Pipelines
  • Data Warehousing
  • CI
  • Data Testing
  • Data Documentation
  • Warehouse Cost Optimization
  • Data Performance Tuning

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Consulting