At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Craft and convey clear, impactful and engaging messages that tell a holistic story.
• Apply systems thinking to identify underlying problems and/or opportunities.
• Validate outcomes with clients, share alternative perspectives, and act on client feedback.
• Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
• Deepen and evolve your expertise with a focus on staying relevant.
• Initiate open and honest coaching conversations at all levels.
• Make difficult decisions and take action to resolve issues hindering team effectiveness.
• Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Demonstrates in-depth abilities and/or success in one or many of the following areas: 

• Strong proficiency in Python and experience with structured and unstructured data. 
• Strong proficiency in SQL and experience with relational databases. 
• Experience writing and maintaining FastAPI endpoints for scalable applications. 
• Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc. 
• Experience in prompt engineering for optimizing LLM outputs. 
• Experience with AI, GenAI, and machine learning and data science workflows. 
• Experience with machine learning and data science workflows is a plus. 
• Experienced in high software quality through developer-led testing, validation, and best practices. 
• Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging. 
• Knowledge of software development workflows and CI/CD pipelines. 
• Work with Docker, including writing Docker files and managing containerized deployments. 
• Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc. 
• Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services. 
• Design and manage data warehouses and data lakes, ensuring data is organized and accessible. 
• Design and implement comprehensive data architecture strategies that meet the current and future business needs. 
• Develop and document data or system models, flow diagrams, and architecture guidelines. 
• Ensure data architecture is compliant with data governance and data security policies. 
• Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions. 
• Evaluate and recommend new data technologies and tools to enhance data architecture. 
• Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP. 
• Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments. 
• Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines. 
• Optimize Cloud resources for cost, performance, and scalability. 
• Knowledge of data governance and data security best practices. 
• Strong analytical, problem-solving, and communication skills. 
• Ability to work independently and as part of a team in a fast-paced environment. 

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: 

• Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; 
• Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; 
• Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, 
• Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. 

Learn more about how we work: https://pwc.to/how-we-work

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.

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.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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