Managed Services - Data Engineer - Senior Associate
About The Position
As a Managed Services - Data Engineer - Senior Associate, you will design and develop data pipelines, data integration, and data transformation solutions that turn raw data into usable client insights. You will analyze complex problems, manage assigned workstreams, build client connections, 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 data to inform insights and recommendations, and support delivery across client engagements in alignment with broader project goals. Travel may be required up to 60%.
Requirements
- At least a bachelor's degree.
- At least 3 years of experience.
Nice To Haves
- Preference for a field of study such as 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.
- Ability to interpret 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, data integration flows, and transformation logic for managed services engagements.
- Develop data infrastructure components across cloud-based platforms, data lakes, and warehouses.
- Use AWS, Snowflake, Apache Airflow, and MySQL for 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 supporting 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 resolve 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
- Eligibility for an annual discretionary bonus
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What This Job Offers
Job Type
Full-time
Career Level
Senior
