GenAI Python Systems Engineer - Senior Associate

PricewaterhouseCoopers

Sacramento, CA

Full Time

Mid Level

77k-202k

15 days ago

Job Description

About the Role

At PwC, our data and analytics engineering team focuses 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. The role involves building meaningful client connections, managing complex situations, and growing technical expertise while delivering quality and value.

Key Responsibilities

Design and implement data architecture strategies aligned with business objectives
Collaborate with stakeholders to convert data requirements into technical solutions
Maintain data integrity and system dependability
Guide and mentor team members to uphold exemplary standards
Analyze intricate problems to deliver impactful solutions
Build and nurture meaningful client relationships
Navigate uncertain situations with confidence and adaptability
Utilize programming languages and cloud platforms to enhance data solutions

Requirements

Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
3 years of experience
Skilled in programming languages like Python, Java, Scala
Proficient in SQL and relational databases
Experience with Docker and containerized deployments
Familiarity with AI techniques enhancing LLMs
Experience in prompt engineering for LLM outputs
Designing thorough data architecture strategies
Implementing data integration solutions using cloud services
Managing data warehouses and data lakes

Nice to Have

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)
Experience with cloud platforms and data infrastructure
Knowledge of data pipelines and data lakes
Experience with AI techniques and LLMs

Qualifications

Bachelor's Degree in relevant field
Minimum of 3 years of professional experience

Benefits & Perks

Salary range of $77,000 - $202,000 plus potential annual discretionary bonus
Medical, dental, and vision insurance
401k retirement plan
Holiday pay, vacation, personal and family sick leave
Work environment with hybrid options (#LI-Hybrid)

Working at PricewaterhouseCoopers

PwC values diversity and inclusion, offering equal opportunity employment regardless of race, color, religion, national origin, sex, age, disability, or other protected statuses. The company emphasizes building meaningful client relationships, technical excellence, and navigating ambiguity with confidence. They promote a collaborative, growth-oriented environment that encourages continuous learning and reflection.

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