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Artificial Intelligence Compensation Index

Data Engineer Salary in New York, United States

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

What is the average Artificial Intelligence Data Engineer salary in New York, United States?

The average annual base salary for a Data Engineer working in the Artificial Intelligence sector in New York is $98,686 per year. Most professionals in this role earn a monthly gross salary ranging between $6,167 and $11,513, with an annual typical range spanning from $74,014 to $138,160.

Average Annual Salary
$98,686
Median Annual Salary
$92,764
Typical Range
$74,014 - $138,160
Data Points Modeled
306 reference factors

Salary Snapshot

Average Salary $98,686
Median Salary $92,764
Lowest 10% Percentile $62,911
Highest 10% Percentile $172,700
Experience Range 0 - 15+ years
Data Model Type Standardized Projection

Salary Percentile Distribution

10th Percentile (Entry Threshold) $62,911
50th Percentile (Median Level) $92,764
90th Percentile (Senior Lead) $172,700

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 $74,014
Mid-Career 3 - 5 years $98,686
Senior Professional 6 - 10 years $133,226
Principal / Director 10+ years $151,976

Top Paying Companies for Data Engineers

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

Microsoft

$123,357

Avg base + bonus options

Google

$133,226

Avg base + equity shares

Amazon

$116,449

Avg base + sign-on bonus

Local Startups

$93,751

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 $126,318 +28%
Artificial Intelligence Strategy $120,396 +22%
Data Analysis $115,462 +17%
Project Management $113,488 +15%
Problem Solving $110,528 +12%

Cost of Living & Net Earnings in New York

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

Monthly Itemized Expense Estimated Cost
Housing & Rent (1 Bedroom Apartment) $3,600
Food & Groceries $800
Public Transit & Commuting $200
Utilities & Internet Access $320
Total Monthly Living Expenses $4,920

Net Take-Home Calculations

A professional earning the average salary of $98,686 gross annually takes home approximately $6,414 monthly after estimated income taxes and statutory deductions.

After subtracting the total monthly living expenses of $4,920, a single professional can expect to save around $1,494 per month. This indicates a cost of living rating characterized as Very High.

How does Data Engineer compare to other Artificial Intelligence careers?

Profession Industry sector Average Annual Salary
AI Product Manager Artificial Intelligence $112,147
AI Research Scientist Artificial Intelligence $83,615
Computer Vision Engineer Artificial Intelligence $70,304
Data Scientist Artificial Intelligence $109,015
Data Engineer (Current Page) Artificial Intelligence $98,686

Local Market Context & Role Analysis

In New York (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 New York are heavily shaped by regional economic investments and local infrastructure priorities. For instance, in New York 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 New York 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 $98,686 a good salary in New York?

A: Yes, earning $98,686 gross annually is considered a competitive compensation package in New York. It comfortably covers the average monthly cost of living of $4,920 (which includes rent, dining, utilities, and transport), allowing a single professional to save approximately $1,494 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 $98,686, the net monthly take-home salary is approximately $6,414.

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

A: In New York, 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 New York?

A: Entry-level professionals with 0-2 years of experience start at an average of $74,014 gross annually. In contrast, senior managers, lead architects, or directors in New York can command packages exceeding $151,976 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.