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.

Role Description Our customer is enhancing their Data Governance & Compliance team to build and mature the organization’s data governance framework. With a significant amount of enterprise data already in the cloud and little yet cataloged or classified, we are looking for a hands-on Data Governance Engineer to support the foundational work needed to operationalize Microsoft Purview across the enterprise. This is a hands-on-keyboard, task-focused role ideal for someone early in their data governance career who is eager to learn and execute. Key Responsibilities - Work directly within Microsoft Purview API (Data Map & Unified Catalog) to: - Register data sources - Configure and run scans - Classify data assets - Support cataloging efforts for 1,200+ data sources across Azure environments. - Execute day-to-day task-based work assigned by the Data Governance leadership team. - Collaborate with existing analysts within Data Compliance and broader Cyber teams. Qualifications - 2+ years of experience in data governance, data engineering, cybersecurity, or related technical discipline. - Experience in coding utilities/scripts that interact with APIs. - Ability to enable version control of code using Azure DevOps. - Must have Microsoft Purview and Unified Catalog. - Experience working with cloud-based data sources, preferably Azure. - Ability to perform detail-oriented, repetitive, task-driven work with high accuracy. - Strong technical curiosity and willingness to grow into a larger governance engineering role. Requirements - Data governance - Data management - Scripting - Azure DevOps - Data quality Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jun 21, 2026.