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Cloud Data Engineer, Professional Services, Google Public Sector

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 123000 - 176000 USD Yearly USD 123000.00 176000.00 YEAR
Job Description & How to Apply Below

Cloud Data Engineer, Professional Services, Google Public Sector

Google Reston, VA, USA

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X Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.

Required qualifications
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 3 years of experience with relational database technologies such as Postgre

    SQL, MySQL, SQL Server, or Oracle.
  • Experience working with business stakeholders to understand requirements, provide technical leadership, and educate teams on GCP best practices.
  • Active, or the ability to obtain, a TS/SCI security clearance.
Preferred qualifications
  • Experience with database and AI integrations.
  • Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning and database performance tuning.
  • Experience in database administration techniques including storage, clustering, availability, disaster recovery, security, logging, performance tuning, monitoring and auditing.
  • Experience developing, deploying, and managing machine learning models, including experience writing software in one or more languages, such as Java, Python, or Golang.
  • Experience working with cloud databases such as RDS, Aurora, Elasti Cache, Cloud

    SQL, Alloy

    DB, Datastore or Bigtable.
  • Experience with machine learning operations (MLOps), data warehousing, and data pipeline development, including ETL and ELT.
About the job

As a Cloud Data Engineer, you will guide Public Sector customers to develop, configure and deploy their data and AI solutions. Together with the team, you will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more. You will consult with customers on how to best design their data and AI solutions including development and deployment of ML models, and integrations with leading Google technologies.

You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features. Your role requires the ability to travel up to 30% of the time.

Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

The US base salary range for this full-time position is $123,000-$176,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities
  • Translate business requirements into conceptual, rational, and physical data models.
  • Be highly collaborative and work closely with data producers and data consumers across public sector customers and teams to understand the data needs, provide consultation, and align data solutions.
  • Analyze on-premise and cloud database environments, consulting on the optimal design for performance and deployment on Google Cloud Platform. Design, build, and maintain data warehouse and pipeline solutions.
  • Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, adapting to different levels of key business and technical stakeholders.
  • Travel regularly (up to 30%) for meetings, technical reviews, and onsite delivery activities.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles…

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