Tax Innovation - Data Engineer - Manager

PwC; Washington (District of Columbia); On-site; USD 99,000 - 266,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Holiday pay

Vacation

Personal and family sick leave

Job summary

PwC is seeking a Tax Innovation - Data Engineer - Manager to design and build data infrastructure, pipelines, and transformation solutions that enable data-driven decision-making. You will lead teams, mentor staff, and manage client accounts while delivering high-quality data engineering projects.

You will work with Azure Data Factory, Databricks, and Snowflake to implement scalable data architectures and ensure data quality and security.

Qualifications

• Bachelor’s degree or higher.
• Minimum 5 years of experience in data engineering or related field.

Responsibilities

• Designing and implementing data infrastructure and systems for efficient processing and analysis.
• Developing and managing data pipelines, integration, and transformation solutions.
• Leading teams in strategic planning and execution of data engineering projects.
• Utilizing Azure Data Factory and Databricks to enhance data solutions.
• Building and maintaining data warehouses/lakes for BI and analytics.
• Overseeing data quality, validation, and security within analytics frameworks.
• Mentoring team members to develop skills and improve delivery.

Skills

Data engineering

Mentoring/leadership

Analytical thinking

Education

Bachelor’s degree

Tools

Azure Data Factory

Azure Databricks

Snowflake

Job description

Industry/Sector

Specialism

Management Level

Job Description & Summary

The Opportunity

As a Tax Innovation - Data Engineer - Manager, 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 Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members’ unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

In this role, you will have the opportunity to work closely with clients, leveraging advanced technologies and techniques to design and develop robust data solutions. Your contributions will be instrumental in driving business growth and enabling informed decision-making.

Responsibilities

• Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
• Developing and managing data pipelines, integration, and transformation solutions to support client needs
• Leading teams in the strategic planning and execution of data engineering projects
• Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform to enhance data solutions
• Building and maintaining data warehouses and lakes to support business intelligence and analytics
• Applying data modeling and dimensional modeling techniques to optimize data architecture
• Overseeing data quality, validation, and security within analytics frameworks
• Encouraging innovation and embracing change to improve data engineering practices
• Mentoring team members to develop their skills and enhance project delivery
• Collaborating with stakeholders to identify opportunities for data-driven business growth

What You Must Have

• At least a Bachelor’s degree
• At least 5 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
• Utilizing Azure Data Factory and Microsoft Azure Databricks for data engineering
• Developing data architecture and data modeling strategies
• Implementing Snowflake Data Warehouse and Snowflake Schema solutions
• Excelling in strategic questioning and analytical thinking
• Embracing change and innovation in data engineering projects
• Mentoring teams in data integration and transformation techniques

Travel Requirements

Up to 20%

The salary range for this position is: $99,000 - $266,000. 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.