Senior Data Engineer
About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers.
What this role actually needs.
About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. Requirements: - 8-10+ years of industry experience in data engineering building scalable data pipelines and data products - Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java) - Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations. - Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams. - Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks. - Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems Company context: Gusto builds payroll and HR software with broad product, platform, security, and data hiring across North America.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
- Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
- Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
- Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
- Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
Why this listing is more than a copied job post.
Senior Data Engineer is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
Canada tech market
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Compensation read
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Location read
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Source: job-boards.greenhouse.io · Source ID: 7357541 · Confidence: 91/100 · Last checked: May 7, 2026
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