Tax Innovation - Data Engineer - Senior Manager

PwC; Washington (District of Columbia); On-site; USD 124,000 - 335,000; Full time

Job summary

PwC is seeking a Tax Innovation - Data Engineer, Senior Manager, in the United States. You will design and build data infrastructure and pipelines, enabling efficient processing and analytics to transform raw data into actionable insights for clients.

You will lead teams, apply systems thinking, and advise stakeholders to drive strategic data solutions. You will develop and sustain diverse teams, coach others, and communicate clear, holistic stories to clients.

Qualifications

• Bachelor's degree required.
• 7+ years of experience in data engineering.
• Experience with large-scale data architectures.

Responsibilities

• Design data infrastructure and processing pipelines.
• Implement data integration and transformation solutions.
• Lead and coach teams to deliver data projects.
• Ensure data quality and security across analytics platforms.
• Collaborate with clients and stakeholders to drive outcomes.

Skills

Leadership & coaching

Systems thinking

Strategic storytelling

Education

Bachelor's degree

Tools

Databricks

Snowflake

AWS

Azure Data Factory

Apache Airflow

Hadoop

Job description

The Opportunity

As a Tax Innovation - Data Engineer - Senior Manager, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. Within our Tax practice, you will leverage advanced technologies and techniques to transform raw data into actionable insights, empowering clients to make informed decisions and drive business growth. In this role, you will develop and implement data pipelines, data integration, and data transformation solutions, playing a crucial role in delivering robust data solutions.

As a Senior Manager, you will apply your skills and professional knowledge to deliver quality results. You will motivate and coach teams to solve complex problems, applying sound judgment to recognize when to take action and when to escalat. Your ability to develop and sustain diverse and inclusive teams contributes to the success of our firm. You will craft and convey clear, impactful messages, apply systems thinking to identify underlying problems, and validate outcomes with clients. In this role at PwC, you will drive project success through strategic advising and influence, fostering a culture of continuous improvement and innovation.

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
• Leveraging advanced technologies and techniques to drive business growth through data engineering
• Building and maintaining scalable data architectures using platforms like Amazon Web Services (AWS) and Azure Data Factory
• Utilizing Apache Airflow and Hadoop for orchestrating complex data workflows and enhancing data processing capabilities
• Developing and optimizing data models and warehouses, including Snowflake and Databricks, to support strategic decision-making
• Validating data quality and security within analytics frameworks to maintain data integrity
• Coaching and motivating teams to solve complex problems and deliver quality results
• Applying systems thinking to identify underlying problems and opportunities in data engineering projects
• Crafting and conveying clear, impactful messages that tell a holistic story to clients and stakeholders

What You Must Have

• At least a Bachelor's degree
• At least 7 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 data engineering platforms like Databricks and Snowflake
• Utilizing advanced skills in data architecture development and data modeling
• Applying strategic questioning and analytical thinking to solve complex problems
• Leading teams through ambiguity with composure and strategic direction
• Innovating data integration and transformation processes for client solutions
• Excelling in coaching and feedback to develop high-performing teams

The salary range for this position is: $124,000 - $335,000. 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 anequal 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.