Data Engineer - Manager
PwC · Charlotte, NC
$99,000–$232,000from the description
Jul 27, 2026
Charlotte, NC
Jul 29, 2026
What this job asks for AI summary
A data engineering manager role at PwC focused on designing and implementing enterprise-scale data architecture, building and maintaining ETL/ELT pipelines, and managing data warehouses and lakes across AWS, Azure, and GCP. The position involves leading a team of data engineers, collaborating with business stakeholders to translate requirements into technical solutions, and enforcing data governance and security practices. Suited to an experienced data engineer ready to take on people management and client-facing responsibilities.
Senior level · 5+ years · Remote · Bachelor's required · Full-time
Advertised as Mid, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
Posted 6 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (7)
No specific work location is stated in the posting beyond the '#LI-Hybrid' tag; no CBSA could be determined. The salary range ($99,000–$232,000/year) is unusually wide, which PwC attributes to variation in individual skills, experience, and location across its US offices.
The title 'Manager' in PwC's consulting hierarchy is a mid-career level (roughly equivalent to a Senior IC elsewhere), but the actual scope — leading a team, owning client deliverables, 5+ years required — maps to Senior on the standard engineering ladder.
The hard requirements section ('What You Must Have') names only a Bachelor's degree and 5 years of experience. All specific technologies appear under 'What Sets You Apart,' which is a preferred/differentiating section, so all named tools are marked preferred. SQL and Python/Java/Scala are stated with 'proficiency'/'proficient in' language in that same section but are treated as preferred given their placement.
Cloud platform certifications (AWS, GCP, Azure, Snowflake, Databricks) are explicitly called 'a plus' and are therefore preferred.
Hadoop, Spark, and Kafka are explicitly flagged as 'a plus' in the posting.
Machine learning and data science workflow experience is explicitly flagged as 'a plus' and has been omitted as it names no specific tool.
The role is classified as 15-1243 (Database Architects) given the primary emphasis on data architecture, data modeling, data warehouses/lakes, and ETL/ELT pipeline design. 15-1252 (Software Developers) is a reasonable alternative given the pipeline-building and IaC coding work.
Read the full posting
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