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About the Role
As a Forward Deployed Software Engineer-Palantir Foundry-Experienced Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale, enabling informed decision-making. As an Associate, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. You will navigate complex situations, anticipate the needs of your teams and clients, and embrace ambiguity as opportunities for growth. In this role at PwC, you will take ownership of your development, appreciate diverse perspectives, and commit to understanding the business context, building commercial awareness along the way.
Responsibilities
- Leading the development and deployment of data solutions using Palantir Foundry
- Leading teams in the development of robust data solutions for client needs
- Coaching team members to leverage their strengths and deliver quality outcomes
- Analyzing system interactions to identify opportunities for improvement
- Utilize proficiency in data engineering and analytics to drive client benefits
- Manage client accounts and foster enduring client relationships
- Taking ownership of projects, including planning, budgeting, and execution
- Encouraging innovation and technology adoption to enhance delivery
- Addressing conflicts and engaging in challenging conversations with stakeholders
- Upholding professional and technical standards, including PwC's code of conduct
- Identify opportunities for team development and continuous improvement
Requirements
- At least a Bachelor's degree
- At least 1 years of experience
Skills
- Foundry Data Engineer
- Solution Architect
- Application Developer
- Customer-centric solutions
- Analytical and problem-solving abilities
- Building applications with large datasets
- Collaborating with diverse technical teams
- Python
- Typescript
- Palantir Foundry
- AIP
Location
- Up to 80% travel
Work Type
- Full-time
Experience Level
- Associate
Education Level
- Bachelor's degree
Salary/Compensations
- $63,000 - $140,000
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
About the Company
- PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
- Learn more about how we work: https://pwc.to/how-we-work
Equal Opportunity
- As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
- PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
- For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.
- At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members.
- We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.