Private Banking & Wealth Mgmt · VP
Data Engineer – Wealth Management Salary
Compensation benchmarks from 255 verified sources including industry surveys, published reports, and market intelligence.
National Compensation Range
P25
$120,000
25th percentile
P50
$155,000
Median
P75
$195,000
75th percentile
CANDIDATE MARKET
Tight
Scarcity: 6/10
EST. CANDIDATE POOL
30-70
Active candidates nationally
DEMAND TREND
Stable
15% year-over-year
RETENTION
3 yr avg tenure
22% annual turnover
Data Engineer – Wealth Management Salary by City
Median (P50) adjusted for metro cost of labor.
Market Trends
Cloud data platforms (Snowflake, Databricks). Real-time analytics. ML feature engineering. Data mesh architecture. Regulatory data lineage.
Also Known As
Wealth Data Platform Engineer, PB Data Pipeline Engineer, Data Architecture Specialist – Wealth
What Does a Data Engineer – Wealth Management Do?
The Data Engineer – Wealth Management operates within private banks, wealth management firms, and trust companies, serving high-net-worth and ultra-high-net-worth clients with investment advisory, estate planning, and banking services. Professionals in this role typically bring 3 to 7 years of relevant experience. Classified at the VP level, this position draws from a tight candidate market with an estimated pool of 30-70 qualified professionals, making targeted sourcing and competitive compensation critical for successful placements.
What Drives Data Engineer – Wealth Management Compensation?
The median (P50) compensation for a Data Engineer – Wealth Management is $155,000, with the 25th to 75th percentile range spanning $120,000 to $195,000. The 48% spread between P25 and P75 reflects significant pay variation driven by book size and client AUM, revenue generated, client segment (HNW vs. UHNW), product complexity, regulatory licensing, and the firm's compensation model (salary + bonus vs. revenue share). Demand for this role is trending upward with 0.15% year-over-year growth, which is putting upward pressure on compensation at all levels.
Data Engineer – Wealth Management Career Path
Professionals who move into Data Engineer – Wealth Management roles most commonly come from institutional banking, financial advisory, trust and estate law, investment management, or family office operations. From this position, the typical trajectory leads toward managing director and market head positions, regional leadership, or transitioning to independent RIA or multi-family office platforms. The average tenure in this role is approximately 3 years, with an annual turnover rate of 22%.
Hiring a Data Engineer – Wealth Management?
Get a full search playbook with compensation positioning, sourcing strategy, and interview framework.
Start a Search