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Open nowPosted 5 hours agoWe saw it 107 min after it went up

Databricks Engineer-Canada

Workable (global search)107,790 open roles

Where
Canada
Work mode
Remote
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Your applicationOpen nowDatabricks Engineer-CanadaWorkable (global search) · Canada

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The clock on this job

Early applications get read.

10.5% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: posted 5 hours ago

Workable (global search) median: 6 days open

The posting

About V4C

At V4C, we empower enterprise organizations to unlock the full value of their data. As a fast-growing technology consultancy, our Databricks practice partners with industry leaders to architect modern data platforms, build high-performance data pipelines, and accelerate enterprise AI and analytics initiatives.

We are seeking a production-focused Senior Data Engineer with exceptional communication skills and a proven track record of delivering reliable data pipelines. In this role, you will have end-to-end production ownership of our data platforms, ensuring high data quality and robust system performance. The ideal candidate prioritizes practical problem-solving and hands-on execution over high-level architecture. You excel at debugging complex data issues and can clearly

communicate technical resolutions using a direct, impact-driven approach.

Key Responsibilities

  • Pipeline Development: Build, optimize, and maintain robust data pipelines using SQL, dbt, and Python.
  • Data Quality & Testing: Implement rigorous data-quality checks and automated testing frameworks within dbt to proactively catch anomalies.
  • Production Ownership: Monitor production workflows, manage alerts, and rapidly debug pipeline failures from root cause to permanent fix.
  • Data Transformation: Write efficient PySpark transformations to process large-scale datasets within our Lakehouse environment.
  • Collaboration & Communication: Translate complex data issues into clear, concise action plans for both technical teammates and business stakeholders.

Required Skills & Experience

Core Technical Expertise

  • SQL & dbt: Expert-level SQL skills and extensive hands-on experience building modular models, snapshots, and custom schema tests in dbt.
  • Python: Strong proficiency in writing clean, maintainable Python scripts for data manipulation, automation, and API integrations.
  • PySpark: Decent, practical experience utilizing PySpark for data transformation and basic performance tuning (e.g., handling joins, DataFrame API).
  • Lakehouse Knowledge: Functional understanding of Delta Lake or similar Lakehouse technologies, including ACID transactions and MERGE operations.

Execution & Soft Skills

  • Strong Communication: Exceptional written and spoken communication skills. Ability to explain problems and results directly and concisely.
  • Debugging & Problem Solving: Superior troubleshooting skills with a methodical approach to identifying root causes and validating fixes.
  • Production Mindset: Experience owning pipelines end-to-end, including CI/CD deployment, monitoring, and handling schema drift.
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