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Senior / Lead Data Engineer (remote)

North American Search Group

Canada · On-site Full-time Lead 4d ago

About the role

Responsibilities

  • Design and build scalable data solutions to consolidate and analyze large, diverse data sources.
  • Generate actionable insights to support product, client, and business decision-making.
  • Partner with product and service teams to define analytical needs and experiments.
  • Develop automated pipelines, algorithms, and processes to cleanse, integrate, and analyze data.
  • Interpret and communicate insights to technical and non-technical stakeholders.
  • Provide hands‑on leadership to data engineers across multiple projects.
  • Lead data preparation and pipeline development for predictive modeling.
  • Perform data exploration, validation, and reconciliation.
  • Build, maintain, and monitor data pipelines and features.
  • Collaborate with product managers, data scientists, actuaries, and architects.
  • Promote high‑quality delivery, ownership, and accountability.
  • Create reusable, well‑documented data assets and code.
  • Contribute to innovation and responsible use of AI.

Qualifications

  • 5+ years of relevant data engineering experience
  • Deep experience implementing DBT and driving ETL/ELT development
  • Expert SQL and Python skills
  • Exposure to building ML data pipelines and features for predictive modeling

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Requirements

  • Deep experience implementing DBT and driving ETL/ELT development
  • Expert SQL and Python skills
  • Exposure to building ML data pipelines and features for predictive modeling

Responsibilities

  • Design and build scalable data solutions to consolidate and analyze large, diverse data sources.
  • Generate actionable insights to support product, client, and business decision-making.
  • Partner with product and service teams to define analytical needs and experiments.
  • Develop automated pipelines, algorithms, and processes to cleanse, integrate, and analyze data.
  • Interpret and communicate insights to technical and non-technical stakeholders.
  • Provide hands‑on leadership to data engineers across multiple projects.
  • Lead data preparation and pipeline development for predictive modeling.
  • Perform data exploration, validation, and reconciliation.
  • Build, maintain, and monitor data pipelines and features.
  • Collaborate with product managers, data scientists, actuaries, and architects.
  • Promote high‑quality delivery, ownership, and accountability.
  • Create reusable, well‑documented data assets and code.
  • Contribute to innovation and responsible use of AI.

Skills

DBTETLELTMLPythonSQL

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