Job description

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 workstreams, 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 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: pwc.to 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: pwc.to. Learn more about how we work: pwc.to 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: pwc.to

Requirements

Must-haves

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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aws

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k