NA
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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