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Data Engineer Salary in Isle of Palms, SC

How much does a data engineer make in Isle of Palms? Explore median, entry-level, and senior salaries adjusted for Isle of Palms's cost of living.

Median Salary
$121,922
per year in Isle of Palms
Entry Level
$77,410
Starting salary
Senior Level
$164,498
Experienced professionals
Cost of Living
135
35% above national avg

Salary Breakdown by Experience Level

See how data engineer salaries break down across different pay periods in Isle of Palms.

PeriodEntry LevelMedianSenior
Annual$77,410$121,922$164,498
Monthly$6,451$10,160$13,708
Biweekly$2,977$4,689$6,327
Weekly$1,489$2,345$3,163
Hourly$37$59$79

Isle of Palms vs National Average

How Isle of Palms's data engineer salaries compare to national figures.

Isle of Palms Salary
$121,922
COL Index: 135
National Average
$106,250
COL Index: 100
Difference
+$15,672
Higher in Isle of Palms

Cost of Living in Isle of Palms

1-Bedroom Rent
$1,800
per month
Median Income
$82,234
per year
Population
4,610
residents
Rent % of Income
26.3%
median household
Cost of Living Index: 135 — A score of 100 represents the U.S. average. Salaries in Isle of Palms have been adjusted to account for local cost differences.

About Data Engineer

Overview

Build and optimize data pipelines and infrastructure for data processing.

Education

Bachelor's degree in Computer Science or related field

Key Skills

SparkHadoopETLPythonDatabase Design

Growth Rate

Expected job growth: +26% over the next decade

Compare Cities: Data Engineer Salary

See Data Engineer salaries in other top cities.

New York, NY
$137,290
+13%
Los Angeles, CA
$145,300
+19%
Chicago, IL
$134,900
+11%
Houston, TX
$128,650
+6%
Phoenix, AZ
$132,410
+9%

Financial Tools to Explore

Use these Pulsafi calculators to understand your finances based on a data engineer salary in Isle of Palms.

Salary Breakdown Calculator

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Cost of Living Calculator

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Budget Calculator

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Rent vs Buy Calculator

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Data Engineer Salary in Isle of Palms, SC — Complete Guide

Median Salary Overview

The median salary for a data engineer in Isle of Palms, SC is $121,922 per year, adjusted for the local cost of living index of 135. This figure reflects typical earnings for experienced professionals in this role, considering Isle of Palms's unique economic conditions.

Salary Range and Experience Levels

Entry-level data engineer professionals in Isle of Palms can expect to earn around $77,410 annually. As professionals gain experience, salaries typically increase, with senior-level data engineers earning approximately $164,498 per year. This represents a 113% increase from entry to senior level.

Cost of Living Adjustment

Isle of Palms's cost of living index of 135 significantly impacts salary comparisons. As a higher cost-of-living city, salaries in Isle of Palms are adjusted accordingly. This means that while the nominal salary may appear higher or lower than the national average of $106,250, the actual purchasing power must be considered in context.

Housing and Affordability

A significant portion of a data engineer's salary in Isle of Palms typically goes toward housing. With a 1-bedroom apartment averaging $1,800 per month, housing represents about 17.7% of median salary. Financial experts generally recommend keeping housing expenses below 30% of gross income.

Career Growth and Opportunities

Data Engineers are in growing demand across the United States, with an expected job growth of 26% over the next decade. In Isle of Palms, this translates to increasing opportunities and potential for salary growth as demand for experienced professionals continues to rise.

Data source: Salary estimates on this page are based on Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) program, adjusted for regional cost of living differences. Figures are approximate and intended for informational purposes only. Actual salaries may vary based on employer, experience, education, certifications, and local market conditions. This page does not constitute financial or career advice. For the most current wage data, visit bls.gov.