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Senior Data Engineer

Gusto, Inc.

Full-time
Canada
$155k-$220k per year
engineer
python
sql
saas
cloud
Apply for this position

At Gusto, our mission is to create a world where work empowers a better life. The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We’re looking for a Senior Data Engineer who’s passionate about building reliable, scalable, and high-quality data systems. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

  • 8+ years of industry experience in data engineering building scalable data pipelines and data products

  • Strong proficiency in SQL and Python

  • 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

  • Familiarity with monitoring, alerting, and incident response for production-grade data pipelines

  • Proven ability to optimize performance and cost across data workflows and storage systems

  • Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks

  • Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.

  • Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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About the job

Full-time
Canada
$155k-$220k per year
Posted 1 hour ago
engineer
python
sql
saas
cloud

Apply for this position

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Senior Data Engineer

Gusto, Inc.

At Gusto, our mission is to create a world where work empowers a better life. The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We’re looking for a Senior Data Engineer who’s passionate about building reliable, scalable, and high-quality data systems. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

  • 8+ years of industry experience in data engineering building scalable data pipelines and data products

  • Strong proficiency in SQL and Python

  • 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

  • Familiarity with monitoring, alerting, and incident response for production-grade data pipelines

  • Proven ability to optimize performance and cost across data workflows and storage systems

  • Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks

  • Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.

  • Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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