Customer Engineer Jobs in Austin, TX

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Austin, TX, USA; Seattle, WA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 6 years of experience as a data or systems engineer, solutions architect, or pre-sales consultant.
• Experience delivering demos, workshops, or architect overviews to business leaders.
  
• Experience migrating, refactoring, or debugging proprietary or open source workloads.
  
• Experience building data platforms, warehouses, or data lakes, and experience with data programming languages and leveraging agentic platforms.

Preferred qualifications:

• Experience designing and deploying enterprise Retrieval-Augmented Generation (RAG) pipelines, LLM application integrations, or context orchestration frameworks.
  
• Experience implementing enterprise data/AI governance, metadata management, access control, or lineage tracking across modern catalogs.
  
• Experience with developer advocacy, building internal technical advocate programs, delivering technical enablement, or contributing to open-source data/AI communities.
  
• Experience in core data science workflows, including proficiency with data manipulation libraries and integrating data pipelines with ML platforms.
  
• Experience applying value-selling principles to align technical architectures with business outcomes.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.