Tax Innovation & Delivery Experience - Data Engineering - Senior Associate

Job Overview The Opportunity As a Tax Innovation & Delivery Experience - Data Engineering - Senior Associate, 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. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role within our Tax practice, you will leverage advanced technologies and techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers a chance to develop a deeper understanding of the business context and how it is evolving. Responsibilities Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data engineering tasks Building and maintaining data architecture to support client-focused analytics initiatives Optimizing database performance and security using best practices in database administration Developing data models and validation processes to enhance data quality and reliability Collaborating with teams to anticipate client needs and deliver tailored data solutions Navigating complex data challenges and leveraging analytical thinking to solve problems Mentoring junior team members and guiding them in technical and professional growth Upholding professional standards and reinforcing the firm’s code of conduct in all engagements Required Qualifications At least a Bachelor's degree At least 2 years of experience Preferred Qualifications Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics Utilizing Azure Data Factory and Databricks for data engineering projects Developing data architecture and integration strategies for complex systems Excelling in analytical thinking and critical problem-solving Navigating ambiguity while building meaningful client relationships Mentoring junior team members in data engineering methodologies Interpreting data to inform strategic insights and recommendations Travel Requirements Up to 20%. Salary The salary range for this position is: $77,000 - $214,000. 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. Benefits 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 Equal Opportunity Employment 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. H-1B Sponsorship Policy 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: Fair Chance Ordinance Policy For 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. 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