Top 134 google cloud foundation models google cloud Jobs in mclean, va

Databricks Data Engineer
Deloitte —McLean, VA
- $86,700 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
5d
AI and Data Science Engineer III
Deloitte —McLean, VA
- $113,100 - $208,300 a year
- Full-time
- Azure
- Oracle
- Doctoral degree
7d
Cloud Consultant (SME)
CGI Group, Inc. —Fairfax, VA
- $89,600 - $218,200 a year
- Computer Science
- 5 years
- Office
- Paid parental leave
- Paid holidays
Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
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Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Lead AI Engineer
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Sr. Lead AI Engineer (GenAI Platform)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
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Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Senior Lead AI Engineer (Gen AI Platform Services)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
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Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
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Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)
Capital One —McLean, VA
- Email
- Azure
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Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Lead AI Engineer (FM Hosting, LLM Inference)
Capital One —McLean, VA
- Email
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2d
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)
Capital One —McLean, VA
- Email
- Azure
- Computer Science
- Java
- Health insurance
2d

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google cloud foundation models google cloud jobs near mclean, va

Databricks Data Engineer

Deloitte -
McLean, VA

Apply Now

Job Details

Full-time
$86,700 - $170,900 a year
5 days ago

Qualifications

Data model design
Cloud analytics services
Databricks
Data Integration (Data management)
SQL databases
Data modeling projects
Spark
SQL
Database design
Python

Full Job Description

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Databricks Data Engineer on the Core AI & Data team, you will be responsible for:

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

The team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications Required:

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
Experience implementing data models, data integration patterns, and cloud-based data processing workflows
Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred:

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Experience using Git-based version control and continuous integration/continuous deployment pipelines
Experience supporting batch and streaming data workloads
Experience with data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Apply Now

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google cloud foundation models google cloud jobs in mclean, va

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