Managed Services - Data Engineer - Senior Associate

Industry/Sector Not Applicable Specialism Managed  Services Management Level Senior Associate

Job Description & Summary The Opportunity As a Managed Services
- Data Engineer
- Senior Associate you will design and develop data pipelines, data integration, and data transformation solutions that help turn raw data into usable insights for clients. As a Senior Associate you will analyze complex problems, manage assigned work streams, build meaningful client connections, and guide junior team members while developing your personal brand and technical skills within our Data and Analytics Engineering practice.

In this role at PwC, you will use a broad range of tools and methods to solve data challenges, interpret data to inform insights and recommendations, and support delivery across client service engagements in a way that aligns with broader project goals.

Responsibilities
- Designing and building data pipelines, data integration flows, and transformation logic for managed services engagements
- Developing data infrastructure components across cloud-based platforms, data lakes, and warehouses
- Using AWS, Snowflake, Apache Airflow, and MySQL to support ingestion, orchestration, storage, and query performance
- Troubleshooting warehouse issues, validating data quality, and refining pipeline logic to improve reliability
- Translating business needs into data engineering solutions that support reporting, analytics, and decision-making
- Interpreting data patterns and technical findings to inform recommendations for clients and internal teams
- Reviewing assigned work from junior team members and providing guidance on technical tasks and deliverables
- Applying critical thinking to resolve complex data engineering problems and adapt approaches as project needs change

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 data engineering experience supporting client service engagements
- Utilizing AWS, Snowflake, Airflow, or MySQL in data pipelines
- Interpreting data quality, validation, and transformation needs
- Collaborating across teams while adapting to ambiguity
- Mentoring junior team members and reviewing work deliverables

Travel Requirements Up to 60%
Job Posting End Date 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: (Use the "Apply for this Job" box below).-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: .

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