Design and build data infrastructure, pipelines, and transformations using Azure Data Factory, Azure Databricks, and Snowflake. Develop data architecture and modeling, maintain data lakes/warehouses, ensure data quality and security, optimize performance, and collaborate with clients to deliver tailored data solutions and governance.
The Opportunity
As a Tax Innovation - Data Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate 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 leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a unique opportunity 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 support client needs
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for data engineering tasks
- Developing data architecture and modeling strategies to optimize data flow and storage
- Applying database management and security best practices to maintain data integrity
- Building and maintaining data lakes and warehouses, including Snowflake Data Warehouse
- Conducting data validation and quality checks to support accurate insights generation
- Collaborating with clients to understand their data requirements and deliver tailored solutions
- Leveraging analytical thinking and creativity to solve complex data challenges
- Engaging in performance tuning and query optimization to enhance system efficiency
- Supporting the development of data strategy and governance frameworks to align with business objectives
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Demonstrating proficiency in Azure Data Factory and Microsoft Azure Databricks
- Utilizing advanced skills in data modeling and data pipeline development
- Excelling in data architecture development and database management systems
- Implementing data anonymization and database security best practices
- Leveraging experience with Snowflake Data Warehouse and Databricks Unified Data Analytics Platform
- Applying analytical thinking and creativity to solve complex data engineering challenges
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. 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
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.
Learn more about how we work: https://pwc.to/how-we-work
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.
As a Tax Innovation - Data Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate 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 leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a unique opportunity 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 support client needs
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for data engineering tasks
- Developing data architecture and modeling strategies to optimize data flow and storage
- Applying database management and security best practices to maintain data integrity
- Building and maintaining data lakes and warehouses, including Snowflake Data Warehouse
- Conducting data validation and quality checks to support accurate insights generation
- Collaborating with clients to understand their data requirements and deliver tailored solutions
- Leveraging analytical thinking and creativity to solve complex data challenges
- Engaging in performance tuning and query optimization to enhance system efficiency
- Supporting the development of data strategy and governance frameworks to align with business objectives
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Demonstrating proficiency in Azure Data Factory and Microsoft Azure Databricks
- Utilizing advanced skills in data modeling and data pipeline development
- Excelling in data architecture development and database management systems
- Implementing data anonymization and database security best practices
- Leveraging experience with Snowflake Data Warehouse and Databricks Unified Data Analytics Platform
- Applying analytical thinking and creativity to solve complex data engineering challenges
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. 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
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.
Learn more about how we work: https://pwc.to/how-we-work
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.
PwC San Francisco, California, USA Office


405 Howard Street Suite 600, San Francisco, CA, United States, 94105
PwC San Jose, California, USA Office


488 Amaden Boulevard, San Jose, CA, United States, 95110
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead product strategy and commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and delivery of scalable data infrastructure and pipelines for PwC Tax practice. Oversee data integration, transformation, validation, security, and compliance; drive innovation, client relationships, business development, mentorship, and strategic direction across multiple projects.
Top Skills:
AzureAzure Data FactoryDatabricks Unified Data Analytics PlatformMicrosoft Azure DatabricksSnowflake Data Warehouse
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, build, and maintain scalable data pipelines, integration and transformation solutions using Azure Data Factory, Databricks, and Snowflake. Ensure data quality, security, and anonymization, collaborate with teams to optimize data architecture, and translate data into actionable insights for tax clients.
Top Skills:
Azure Data FactoryAzure DatabricksDatabricks Unified Data Analytics PlatformAzureSnowflakeSnowflake Schema
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine





