Google

Data Engineer, gTech Users and Products Engineering

Google • $106K — $150K *
Boulder, CO 80302In-Person
Enterprise Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent experience required.
  • 1 year of coding experience in various programming languages.
  • 1 year of experience designing data pipelines for both synchronous and asynchronous integration.
  • Experience performing exploratory queries and scripts on data models.

Responsibilities

  • Leverage advanced AI technologies to develop and maintain full-stack data pipelines and reporting systems.
  • Create and optimize scalable ETL processes for traditional and distributed data systems.
  • Collaborate with data scientists to implement and scale machine learning models in data pipelines.
  • Work with product and engineering stakeholders to ensure data infrastructure meets business needs.
  • Document technical designs and utilize tools for innovative business insights.

Benefits

  • Comprehensive health insurance options.
  • Flexible work hours and remote work opportunities.
  • Professional development and continuous learning programs.
  • Generous paid time off and holiday leave.
Full Job Description
info_outline
X The application window will be open until at least August 21, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 1 year of experience coding in one or more programming languages.
  • 1 year of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
  • Experience working with data models by performing exploratory queries and scripts.

Preferred qualifications:
  • Experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
  • Experience developing project plans and delivering projects on time within budget and scope.
  • Experience designing data models, data warehouses, and modeling complex business processes or real-world business data.
  • Experience writing and maintaining ETL pipelines for structured and unstructured sources, alongside large-scale distributed data processing.
  • Proficiency with Unix or Linux environments and non-relational data storage systems, including NoSQL and distributed databases.
  • Excellent written communication, organizational, and investigative skills.


Responsibilities
  • Leverage advanced AI to design, develop, and support robust, full-stack data pipelines, warehouses, and reporting systems.
  • Create, optimize, and modify scalable ETL processes using traditional and large-scale distributed data systems to manage evolving business demands.
  • Partner closely with data scientists to transition, scale, and productionize statistical and machine learning models within data processing pipelines.
  • Align and collaborate with product, user, and engineering stakeholders to ensure data infrastructure meets dynamically evolving operational requirements.
  • Author comprehensive technical design documents while managing continuous innovation using investigative tools for business insights.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Enterprise Technology
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ
GOOGL
* Ladders Estimates

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