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GCP Data Engineer (REMOTE) at CBRE

GCP Data Engineer (REMOTE)

CBRE Work from Home/Remote Full-Time
GCP Data Engineer (REMOTE)

Job ID




Service line

GWS Segment

Role type


Areas of Interest

Digital & Technology/Information Technology


Remote - US - Remote - US - United States of America


Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to work on Google Cloud Platform (GCP) and help support the GCP environment by building and deploying enterprise scale applications in support of our work with the client.


+ Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources for the real estate portfolio of a large technology company in the Silicon Valley.

+ Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and address reporting needs.

+ Planning, deploying and configuring of Virtual Private Cloud VPC environments in Google Cloud Platform that include Big Query, Pub Sub, Dataflow, Document AI, NLP, BigTable, ML, IOT Core, Vision API,, Cloud Storage, Dialogflow, Cloud Composer, and others

+ Leveraging GCP and other development tools: Cloud SDK, Client Libraries, Angular, Spring Framework and more

+ Ensuring seamless availability/reliability of GCP-based operations

+ Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization. Is well versed in data visualization and UX techniques that encourages fact-based, productive discussions.

+ Utilizes programming and analytical tools, including open source programs including intermediate SQL or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.

+ Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate CBRE business units; Designs workflows and procedures.

+ Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (e.g., Plx, Google Data Studio).

+ Other Duties as Assigned


No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.


To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.


Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.


Certifications related to Google Cloud are considered a plus but not required.


Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable, and courteous service to customers. Ability to effectively present information.


Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.


Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.


Intermediate experience with Plx, Google Data Studio, or similar data visualization tools and intermediate SQL.

Proficient in Google Workspace (formerly G Suite) and/or Microsoft Office Suite. Strong analytical skills.

Considered a plus for:

+ Familiarity with HTML, CSS, JavaScript, ETL and process mapping (e.g., Visio, Lucidchart).

+ Skilled in creating, modifying and implementing business requirements documents (BRD).

+ Understanding of data warehouse fundamentals.

+ System architecture experience.


Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.


Colorado Residents: CBRE carefully considers multiple factors to determine compensation, including a candidate's education, training, and experience. The minimum salary for the position is **$115,000** annually and the maximum salary for the position is **$126,000** annually. The compensation that is offered to a successful candidate will depend on the candidate's skills, qualifications, and experience. Successful candidates will also be eligible for a discretionary bonus based on CBRE's applicable benefit program.

CBRE is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

_NOTE:_ _An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing._

CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)

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