Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Data Engineer Toronto Requisition ID: 252985 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovation initiatives across multiple strategic projects. The ideal candidate will have a solid foundation in Python, with exposure to Spark, Hadoop, and cloud platforms considered a strong asset. This role offers hands-on experience, mentorship, and opportunities for continuous learning and career growth. Is this role right for you? In this role, you will: Design, build, and maintain scalable data pipelines using Apache Spark, PySpark, Apache Beam, or Flink. Develop and enhance ETL/ELT workflows using Airflow and ETL tools such as Talend, Spring Batch, or NiFi. Work with structured and semi‑structured data (CSV, JSON, XML, Parquet, ORC, Iceberg) and apply data wrangling techniques using Python and pandas. Contribute to Test Automation Framework enhancements, ensuring reusable and scalable automation components. Support Group Intake Automation by translating business and operational requirements into backend workflows and data processes. Contribute to BotData Enhancement, developing synthetic data generation and validation logic using PySpark. Develop, test, and optimize Python scripts for automation, data transformations, and validation. Participate in Agile ceremonies (stand-ups, planning, retrospectives) and contribute to documentation and knowledge sharing. Coll

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