This job has closed.

Google · 1 month ago

Cloud Data Engineer, Professional Services, Google Public Sector

Reston, VA, USA

Full-time

Onsite

Mid Level

$123K/yr - $176K/yr

3+ years exp

Google is committed to advancing the mission of government and education with solutions purpose-built for enterprises. As a Cloud Data Engineer, you will guide Public Sector customers in developing, configuring, and deploying their data and AI solutions while supporting implementations of Google Cloud products.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

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 practices 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

Qualification

Relational databasesGCP best practicesDatabase management toolsMachine learning modelsCloud databasesMLOpsETLELTJavaPythonGolangDatabase administrationSoft skills

Required

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

Bachelor's degree in Computer Science or equivalent practical experience

3 years of experience with relational database technologies such as PostgreSQL, 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

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, ElastiCache, CloudSQL, AlloyDB, Datastore or Bigtable

Experience with machine learning operations (MLOps), data warehousing, and data pipeline development, including ETL and ELT