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About the Role
As a Managed Services - Data Engineer - Senior Associate, you will design and develop data pipelines, data integration, and data transformation solutions to turn raw data into usable insights for clients. You will analyze complex problems, manage workstreams, build client connections, and guide junior team members while developing your personal brand and technical skills within our Data and Analytics Engineering practice. 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.
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
Requirements
- At least a Bachelor's degree
- At least 3 years of experience
- 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
Skills
- Data pipelines
- Data integration
- Data transformation
- AWS
- Snowflake
- Apache Airflow
- MySQL
- Data infrastructure
- Cloud-based platforms
- Data lakes
- Data warehouses
- Data quality
- Pipeline logic
- Reporting
- Analytics
- Decision-making
- Data patterns
- Technical findings
- Critical thinking
Location
- Remote
- Hybrid
Work Type
- Full-time
- Managed Services
Experience Level
- Senior Associate
Education Level
- Bachelor's degree
Salary/Compensations
- $77,000 - $202,000
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
- Annual discretionary bonus
About the Company
- PwC is an equal opportunity employer.
- Learn more about how we work: https://pwc.to/how-we-work
Equal Opportunity
- 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.
- 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.