# Senior Data Engineer

**Company:** [Gusto](https://hotfix.jobs/companies/gusto)
**Location:** Denver, CO, New York, NY, San Francisco, CA
**Role:** Data Engineering
**Salary:** $155k – $220k/yr
**Experience:** 10+ years
**Skills:** SQL, Python, Scala, Java, dbt, ETL, Data Modeling, Schema Design, Snowflake, Redshift, BigQuery, Databricks, CI/CD, Data Observability, Data Quality
**Posted:** 2026-08-14

> The Senior Data Engineer will build scalable pipelines, ETL workflows, and data products while partnering with analytics, product, and engineering teams. The role requires 8–10+ years of experience, strong SQL and programming skills, cloud data-platform expertise, and a focus on reliability, quality, and automation.

## Job Description

## Responsibilities
- Take loosely defined data engineering problems from framing and stakeholder alignment through solution design, implementation, and delivery.
- Partner with analytics, product, and engineering teams to deliver data solutions with business and customer impact.
- Build tools and systems that make data consistent, user-friendly, and useful.
- Ingest data from APIs, databases, SaaS applications, and event streams.
- Implement monitoring, alerting, incident response, CI/CD, automated testing, and data observability for production-grade pipelines.
- Optimize performance and cost across data workflows and storage systems.
- Leverage AI and automation to build self-service tools, intelligent pipelines, and agents that automate repetitive tasks.

## Requirements and Preferred Qualifications
- 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, such as Python, Scala, or Java.
- Experience building and maintaining robust data pipelines and ETL workflows.
- Hands-on experience with dbt for reliable, testable, and maintainable data transformations.
- Strong foundation in data modeling, schema design, and data quality best practices.
- Functional experience with cloud data platforms such as Snowflake, Redshift, BigQuery, or Databricks.
- Experience implementing CI/CD pipelines, automated testing, and data observability.
- Familiarity with monitoring, alerting, and incident response.
- Strong problem-solving, communication, collaboration, clarity, empathy, and shared-ownership skills.

## Compensation and Benefits
- Targeted annual cash compensation: **$155,000–$185,000** in Denver; **$170,000–$200,000** in Los Angeles; and **$190,000–$220,000** in San Francisco, Seattle, and New York.
- Compensation varies based on factors including experience and expertise.
- Full-time employees receive competitive base pay, benefits, and equity in the form of RSUs.
- Employees based in Denver, San Francisco, and New York work from the office approximately 2–3 days per week or more, depending on the role.

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