Staff Data Quality Engineer

RemoteSenior Level
Officially published on12/10/2025
Annual Salary$179,000 - $255,000

Role Activities

  • QA automation
  • Strategy development
  • Mentor engineers

Requirements Summary

10+ years in Data Engineering with a focus on data quality; 3+ years AI/ML product experience; strong SQL and Python; Spark and Airflow experience; knowledge of relational/NoSQL databases; able to communicate with executives.

Other Requirements

Year of Experience Required:10
Working Language:English
Company Info
Komodo Health

Komodo Health

<p>Komodo Health will consider for employment qualified applicants with criminal histories pursuant to the San Francisco Fair Chance Ordinance subject to the requirements of all state and federal laws and regulations.</p> <p>If you are a recruiter or placement agency, please do not submit resumes to any person or email address at Komodo Health prior to having a signed agreement from Talent Acquisition. Komodo Health is not liable for and will not pay placement fees for candidates submitted by any agency other than its approved recruitment partners. Furthermore, any resumes sent to us without an agreement in place will be considered your company’s gift to Komodo Health and may be forwarded to our recruiters for their attention.</p> <p><a class="safe-online" href="https://www.komodohealth.com/hubfs/_2020_DOCUMENTS/Fraud_and_Scam_Alert-Komodo_Career_page.pdf" target="_blank">Our commitment to safe online recruiting &gt;</a></p> <p><img style="display: none;" src="https://px.ads.linkedin.com/collect/?pid=2219092&amp;conversionId=2427860&amp;fmt=gif" alt="" width="1" height="1"></p>

Founded in:2014
Number of Employees:630

Industry

Software CompaniesArtificial Intelligence Companies

Activities

  • tech startup
  • software
  • predictive analytics
  • computer programming activities
  • human health activities
  • information technology
  • health care
  • software-as-a-service
  • product marketing
  • software development
  • b2b
  • product management
  • machine intelligence
  • life sciences
  • professional services
  • data engineering
  • artificial intelligence
  • healthcare
  • voice mail, messaging systems and services
  • voice mail, messaging systems &...
  • health care technology
  • enterprise software
  • health care information technology
  • big data
Original Job Info