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Artificial Intelligence Compensation Index

Data Engineer Salary in Los Angeles, United States

Comprehensive market analytics, experience ranges, company comparisons, and local purchasing power indices.

What is the average Artificial Intelligence Data Engineer salary in Los Angeles, United States?

The average annual base salary for a Data Engineer working in the Artificial Intelligence sector in Los Angeles is $100,763 per year. Most professionals in this role earn a monthly gross salary ranging between $6,297 and $11,755, with an annual typical range spanning from $75,572 to $141,068.

Average Annual Salary
$100,763
Median Annual Salary
$94,717
Typical Range
$75,572 - $141,068
Data Points Modeled
543 reference factors

Salary Snapshot

Average Salary $100,763
Median Salary $94,717
Lowest 10% Percentile $64,236
Highest 10% Percentile $176,335
Experience Range 0 - 15+ years
Data Model Type Standardized Projection

Salary Percentile Distribution

10th Percentile (Entry Threshold) $64,236
50th Percentile (Median Level) $94,717
90th Percentile (Senior Lead) $176,335

Chart shows compensation ranges across general hiring distributions.

Data Engineer Salary by Experience

Experience Level Years of Experience Estimated Base Salary
Junior / Entry Level 0 - 2 years $75,572
Mid-Career 3 - 5 years $100,763
Senior Professional 6 - 10 years $136,030
Principal / Director 10+ years $155,174

Top Paying Companies for Data Engineers

Estimated annual compensation packages offered by top organizations in the region.

Microsoft

$125,953

Avg base + bonus options

Google

$136,030

Avg base + equity shares

Amazon

$118,900

Avg base + sign-on bonus

Local Startups

$95,724

Avg base + stock variables

Highest Paying Skills for Data Engineers

Acquiring these key skills can yield a significant premium on base pay ranges.

In-Demand Skill Estimated Base Salary with Skill Salary Premium Bonus
Artificial Intelligence Management $128,976 +28%
Artificial Intelligence Strategy $122,930 +22%
Data Analysis $117,892 +17%
Project Management $115,877 +15%
Problem Solving $112,854 +12%

Cost of Living & Net Earnings in Los Angeles

How does a Data Engineer's compensation align with regional housing and utility budgets?

Monthly Itemized Expense Estimated Cost
Housing & Rent (1 Bedroom Apartment) $2,500
Food & Groceries $600
Public Transit & Commuting $140
Utilities & Internet Access $240
Total Monthly Living Expenses $3,480

Net Take-Home Calculations

A professional earning the average salary of $100,763 gross annually takes home approximately $6,549 monthly after estimated income taxes and statutory deductions.

After subtracting the total monthly living expenses of $3,480, a single professional can expect to save around $3,069 per month. This indicates a cost of living rating characterized as High.

How does Data Engineer compare to other Artificial Intelligence careers?

Profession Industry sector Average Annual Salary
AI Product Manager Artificial Intelligence $111,014
AI Research Scientist Artificial Intelligence $78,744
Computer Vision Engineer Artificial Intelligence $69,628
Data Scientist Artificial Intelligence $110,127
Data Engineer (Current Page) Artificial Intelligence $100,763

Local Market Context & Role Analysis

In Los Angeles (United States), the role of a Data Engineer (matching standard international occupational classifications) is a vital driver of operational efficiency within the local Artificial Intelligence sector. Professionals in this field analyze technical specifications, coordinate with regional stakeholders, and ensure project targets align with local standards. Local certifications (such as relevant national vocational training or professional degrees) are highly valued by regional employers.

The local market dynamics in Los Angeles are heavily shaped by regional economic investments and local infrastructure priorities. For instance, in Los Angeles and the surrounding United States region, hiring demand is driven by both local enterprises expanding their digital footprints and traditional firms modernizing their workflows. Compensation structures reflect these regional cost-of-living adjustments, localized labor availability, and competitive hiring packages offered by local office hubs.

According to regional salary data trends, professionals who possess advanced qualifications or specialized skills command a significant salary premium. Employers in Los Angeles frequently seek candidates with strong analytical skills, project management experience, and a track record of delivering successful results in high-pressure environments.

Frequently Asked Questions (FAQs)

Q1: Is $100,763 a good salary in Los Angeles?

A: Yes, earning $100,763 gross annually is considered a competitive compensation package in Los Angeles. It comfortably covers the average monthly cost of living of $3,480 (which includes rent, dining, utilities, and transport), allowing a single professional to save approximately $3,069 net per month.

Q2: How much tax does a Data Engineer pay in United States?

A: In United States, the estimated statutory deductions for income tax, social security contributions, and national insurance average around 22%. On a gross base salary of $100,763, the net monthly take-home salary is approximately $6,549.

Q3: Do Data Engineers in Los Angeles need to speak the local language or hold specific certifications?

A: In Los Angeles, professional proficiency in English is standard. Recruiter preferences generally prioritize technical skills, relevant certifications (such as AWS, PMP, or sector-specific credentials), and local work authorization rather than foreign language skills.

Q4: What is the difference between junior and senior Data Engineer salaries in Los Angeles?

A: Entry-level professionals with 0-2 years of experience start at an average of $75,572 gross annually. In contrast, senior managers, lead architects, or directors in Los Angeles can command packages exceeding $155,174 per year.

📋 Methodology & Data Sources

This profile is reviewed and updated quarterly by the The Career DB Editorial Team (Last reviewed: June 2026). To estimate realistic earnings, our models synthesize data from multiple sources:

  • National occupational census databases and official labor reports (such as INSEE for France, Bureau of Labor Statistics for USA, Ministry of Statistics for India).
  • Aggregated regional job ads, local hiring surveys, and cost of living tables.
  • Deterministic economic adjustments based on purchasing power parity (PPP) and local tax brackets.

Disclaimer: The figures displayed are modeled projections and statistical estimates computed for informational, research, and educational purposes. They do not constitute formal legal, tax, or professional career advice. Actual compensation packages vary depending on negotiation, employer scale, and individual candidate experience.