Senior Data Engineer
Gusto, Inc. · Denver, CO - Hybrid; New York, New York, United States; San Francisco, CA - Hybrid
Posted about a month ago · $155,000-$185,000
or apply directly on Gusto, Inc.'s site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 33 days Gusto, Inc.'s roles stay open a median of 44 days
- Reposted
- No
- Salary listed
- Yes 49% of Gusto, Inc.'s roles list one
- Ghost-job risk at Gusto, Inc.
- high 45 stale, 9 reposted of 97 open
- Hiring momentum
- 146 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Gusto, Inc.'s own greenhouse board since 2026-08-03. Full hiring picture for Gusto, Inc..
About this role
As a Senior Data Engineer at Gusto, you will be responsible for driving end-to-end solutions for loosely defined data problems, collaborating with analytics, product, and engineering teams. Your role will involve designing, building, and delivering scalable data pipelines and data products, ensuring data consistency and usability for decision-making and customer experiences.
- benefits
- 2/5
- freshness
- 3/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Gusto, Inc. as an employer.
What you need
- 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
- 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
- Functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks
Nice to have
- Functional understanding of how to leverage AI and automation in data engineering
- Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
What you get
- Competitive base pay
- Benefits
- Equity (RSUs)
Worth weighing
- No specific mention of remote work flexibility beyond hybrid expectations
- Compensation varies significantly by location and is influenced by candidate experience
- Expectations for in-office work 2-3 days per week for hybrid employees
Summarised from Gusto, Inc.'s posting. Read the full original.
Listed by Gusto, Inc. on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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