The Opportunity As a 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 Technology Consulting practice, 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 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 with a diverse range of clients, helping them to harness the power of data and analytics to achieve their business objectives. 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 - Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions using platforms like Databricks and Snowflake - Guiding team members in data architecture development and database optimization - Validating data quality, security, and compliance within analytics frameworks - Identifying opportunities for data utilization to drive business growth and performance - Mentoring junior staff to develop their skills and encourage innovation - Addressing conflicts and engaging in critical conversations with clients and stakeholders What You Must Have - At least a Bachelor's degree - At least 4 years of experience What Sets You Apart - 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 Amazon Web Services (AWS) and Azure Data Factory for data engineering - Developing data architecture and optimization strategies using Snowflake and Databricks - Implementing data anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning - Mentoring junior staff in data strategy and validation techniques The salary range for this position is: $99,000 - $232,000. 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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Hybrid #BI-Hybrid

The Opportunity As a Data Engineer - 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 Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving. Responsibilities - Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis - Developing and maintaining data pipelines, integration, and transformation solutions to support client needs - Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management - Building and managing data lakes and warehouses to support large-scale data storage and retrieval - Confirming data quality and validation through rigorous testing and performance tuning - Collaborating with clients to understand their data requirements and deliver actionable insights - Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization - Implementing data security best practices to protect sensitive information and maintain compliance - Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing - Supporting the development of data strategies to drive business growth and informed decision-making What You Must Have - At least a Bachelor's degree - At least 2 years of experience What Sets You Apart - 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 - Demonstrating proficiency in data engineering platforms like Databricks - Utilizing cloud platforms such as AWS and Microsoft Azure - Excelling in data architecture development and data modeling - Implementing data pipeline and data integration strategies - Navigating complex data environments with Apache Hadoop and Airflow - Applying critical thinking to solve data-related challenges The salary range for this position is: $77,000 - $202,000. 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. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Hybrid #BI-Hybrid

• Lead the design, development, and scaling of complex data pipelines and platforms • Partner with business leaders and engineering teams to translate requirements into production-ready data solutions • Own end-to-end data solutions including modeling, performance, reliability, and cost optimization • Apply cloud-native design patterns to ensure scalability, security, and maintainability • Implement CI/CD, testing, monitoring, and data quality best practices • Provide technical mentorship to junior team members by leading design reviews and conducting code reviews

• Design, build, and optimize data ingestion, transformation, and delivery pipelines that support batch, micro‑batch, and streaming workloads. • Develop ETL/ELT workflows that integrate data from enterprise systems, operational platforms, external sources, and commercial applications. • Implement scalable data processing patterns that support open lakehouse architectures and medallion‑layered data products. • Ensure pipelines are reliable, maintainable, cost‑efficient, and aligned with enterprise engineering standards. • Design data models that support analytics, reporting, and data product consumption across raw, refined, and curated layers. • Apply medallion architecture principles to ensure data quality, reusability, and consistency across domains. • Contribute to architectural decisions that balance performance, scalability, governance, and operational simplicity. • Support integration of ERP and enterprise systems, ensuring data consistency and alignment with business processes. • Implement data quality checks, validation rules, and monitoring frameworks to ensure accuracy and reliability. • Apply foundational data governance practices including lineage, metadata management, cataloging, and access controls. • Collaborate with governance and data product teams to ensure compliance with enterprise standards and regulatory requirements. • Partner with CSA teams, solution architects, and data product leads to translate business requirements into technical specifications. • Work closely with customer engineering and analytics teams to support onboarding, adoption, and operationalization of delivered pipelines. • Participate in Agile delivery processes, providing technical input on sizing, sequencing, and implementation planning. • Communicate technical concepts clearly to both technical and non‑technical stakeholders.