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About the Role

At PwC, data and analytics engineers leverage advanced technologies to design robust data solutions, transforming raw data into actionable insights. AI and ML specialists develop and implement advanced AI and ML solutions to drive innovation and enhance business processes. As a driven, reliable team member, you will adapt to various clients and team members, taking ownership and delivering quality work. Every experience is an opportunity to learn and grow, building your brand within the Firm.

Responsibilities

Build and maintain sturdy relationships with clients and team members
Contribute to the development of solutions in a dynamic environment
Work with team members to achieve project objectives
Analyze data to derive insights and inform decision-making
Uphold professional standards and ethical practices in every task

Requirements

Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
At least 1 year of experience

Skills

Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate]
Skilled in programming languages like Python, Java, or Scala
Demonstrating competence in SQL and relational databases
Managing containerized deployments with Docker
Maintaining software quality through developer-led testing
Understanding AI techniques enhancing LLMs
Designing data architecture strategies for business needs
Working with stakeholders to translate data requirements
Familiarity with machine learning and data science workflows
Monitoring and troubleshooting data pipelines, data warehouses, and workflows to promote data quality, system reliability, performance, and cost management
Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments

Location

Remote
Hybrid

Work Type

Full-time

Experience Level

Associate
Entry level

Education Level

Bachelor's Degree

Salary/Compensations

$61,000 - $100,000

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

About the Company

PwC's data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes.
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.
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.