DE
Deloitte
Austin, Texas, United States · Chicago, Illinois, United States · Costa Mesa, California, United States · Dallas, Texas, United States · Fort Worth, Texas, United States · Fresno, California, United States · Houston, Texas, United States · Los Angeles, California, United States · Milwaukee, Wisconsin, United States · Minneapolis, Minnesota, United States · Portland, Oregon, United States · Sacramento, California, United States · San Antonio, Texas, United States · San Diego, California, United States · San Francisco, California, United States · San Jose, California, United States · Seattle, Washington, United States
US E- Consulting Services-Palantir Engineer-L35-AI & Engineering-TSP (374724)
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About this opportunity
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Palantir Engineer - Managed Services Engineer II you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work you’ll do/Responsibilities
Support business functions through the development, configuration, maintenance, and continuous improvement of Palantir Foundry applications. The work spans software development, data pipeline delivery, Ontology governance, application support, real-time operations, regulatory compliance, and infrastructure coordination. The role helps plan, deliver, and operate integrated capabilities that meet end-user business and performance needs.
Build and maintain Palantir Foundry data pipelines, Ontology objects, and Workshop applications.
Develop and test transforms under the guidance of senior engineers.
Troubleshoot defects and support timely resolution.
Help maintain production platforms supporting wildfire safety and emergency operations.
Support regulatory reporting deadlines by monitoring data and application issues and escalating risks promptly.
Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
The 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
AI & Engineering – Engineering As a Service, leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Qualifications
Required
4 years of experience working as a Palantir Engineer
4 years of experience developing, sustaining, and maintaining applications in Palantir Foundry.
4 years of experience building and maintaining data pipelines, develop transforms, and working with Ontology objects and Workshop applications.
4 years of experience supporting IT operations and production environments, including troubleshooting defects and escalating issues in Palantir.
Ability to work under the guidance of senior engineers and collaborate with technical teams.
Ability to support applications and data processes subject to strict regulatory reporting deadlines.
Familiarity with wildfire safety, emergency operations, or utility platforms is beneficial.
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred
Analytical/ Decision Making Responsibilities
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Can operate independently or with minimum supervision
Excellent Written and Communication Skills
Ability to deliver technical demonstrations
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 $80,600 to $134,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Why this role qualifies
AI-focused role: Role title: US E- Consulting Services-Palantir Engineer-L35-AI & Engineering-TSP (374724) Company evidence