Managed Services - Data Engineer - Senior Associate
About The Position
As a Managed Services Data Engineer at the Senior Associate level, you will design and develop data pipelines, integrations, and transformations that turn raw data into usable insights for clients. You will analyze complex problems, manage assigned workstreams, build client relationships, and guide junior team members while developing your technical skills within PwC’s Data and Analytics Engineering practice. You will use a broad range of tools and methods to address data challenges, interpret findings to inform recommendations, and support delivery across client service engagements in alignment with broader project goals.
Requirements
- At least a Bachelor's degree.
- At least 3 years of experience.
Nice To Haves
- Study in one or more of the following fields: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, or Operations/Supply Chain.
- Data engineering experience supporting client service engagements.
- Experience using AWS, Snowflake, Airflow, or MySQL in data pipelines.
- Experience interpreting data quality, validation, and transformation needs.
- Ability to collaborate across teams while adapting to ambiguity.
- Experience mentoring junior team members and reviewing work deliverables.
Responsibilities
- Design and build data pipelines, integration flows, and transformation logic for managed services engagements.
- Develop data infrastructure components across cloud platforms, data lakes, and warehouses.
- Use AWS, Snowflake, Apache Airflow, and MySQL to support ingestion, orchestration, storage, and query performance.
- Troubleshoot warehouse issues, validate data quality, and refine pipeline logic to improve reliability.
- Translate business needs into data engineering solutions that support reporting, analytics, and decision-making.
- Interpret data patterns and technical findings to inform recommendations for clients and internal teams.
- Review assigned work from junior team members and provide guidance on technical tasks and deliverables.
- Apply critical thinking to solve complex data engineering problems and adapt approaches as project needs change.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Holiday pay
- Vacation
- Personal and family sick leave
- Annual discretionary bonus
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What This Job Offers
Job Type
Full-time
Career Level
Senior
