Sr. Associate, Data Engineer
KPMG
Seeking a Sr. Associate Data Engineer with a Bachelor's in Computer Science, Statistics, or related fields, and proven experience in analytics and data engineering solutions.
Last checked on September 8, 2026. We may earn a commission when you click through.
Sr. Associate, Data Engineer
KPMG
Updated 13 days agoYou'll be redirected to talent.com
This position is ideal for experienced data engineers looking to advance their careers with a prestigious firm. However, the lack of disclosed salary may deter some applicants seeking transparency.
About this role
Seeking a Sr. Associate Data Engineer with a Bachelor's in Computer Science, Statistics, or related fields, and proven experience in analytics and data engineering solutions.
About the Company
KPMG is a global leader in audit, tax, and advisory services, known for its commitment to quality and innovation.
Key Highlights
- ✓ Requires a Bachelor's degree in a relevant field.
- ✓ Focus on end-to-end analytics and data engineering solutions.
- ✓ Opportunity to work with a well-respected firm.
💡 Honest Take: The role demands strong technical skills, and while KPMG is reputable, the workload may be intense with high expectations for deliverables. Prepare for a challenging but rewarding environment.
Pros
- ✓ Prestigious company with a strong reputation.
- ✓ Focus on data engineering and analytics.
- ✓ Opportunities for professional growth.
Cons
- ✗ Salary not disclosed.
- ✗ High expectations may lead to a demanding workload.
- ✗ No remote work option.
Best For: Mid-level professionals in data engineering looking for challenging projects in a prestigious company.
Watch Out: The position is not remote, which may limit flexibility for some candidates.
You'll be redirected to talent.com
What Customers Say
Employees cite a demanding work environment but appreciate the opportunities for growth and the company's strong reputation.
Expert Review
KPMG offers a Sr. Associate Data Engineer role that emphasizes delivering analytics solutions. Those in this position will work closely with data discovery, cleansing, and model development.
The exact salary remains undisclosed, for applicants prioritizing compensation transparency. The company is known for its rigorous expectations, meaning applicants should be prepared for a challenging workload. the role is office-based in Philadelphia, limiting options for remote work.
If you thrive in fast-paced environments and have the necessary technical expertise, this opportunity could be a great fit, but be aware of the potential pressure to perform.
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