data engineer (banking) Salary in New York (2026): Complete Guide

A data engineer (banking) in New York typically earns $125,000 to $280,000 base salary in 2026, with total compensation often landing higher once bonus is included. If you’re strong in cloud data platforms, real-time pipelines, and regulated environments, the upper end moves fast.

Salary by Experience

In New York banking, total compensation can add 10% to 30% on top of base through annual bonus. At bulge-bracket banks and top-tier fintechs serving finance clients, strong candidates with niche skills can clear $300k+ all-in.

What Affects Your Salary

• •

  Banking domain experience

  • •If you’ve worked on risk, trading data, payments, AML/KYC, or regulatory reporting, you get a premium.
  • •New York has a heavy concentration of finance and capital markets, so this domain knowledge matters more here than in generic tech markets.
• •

  Cloud and platform specialization

  • •AWS Glue, Databricks, Snowflake, Kafka, Airflow, dbt, and Terraform all push comp up.
  • •Candidates who can design secure data platforms rather than just write ETL jobs usually land higher bands.
• •

  Regulatory and controls exposure

  • •Experience with SOC 2, SOX controls, lineage, data retention policies, encryption standards, and audit support is valuable.
  • •Banks pay for people who can ship data systems without creating compliance problems.
• •

  Remote vs onsite

  • •Fully remote roles may pay slightly less if the employer is outside New York or has national bands.
  • •Onsite or hybrid roles at NYC banks often pay more because they expect tighter stakeholder management and faster delivery.
• •

  AI/ML-adjacent data engineering

  • •If you support feature stores, model pipelines, vector search infrastructure, or streaming analytics for fraud detection and personalization, comp rises.
  • •These roles are priced closer to AI/data platform engineering than traditional warehouse work.

How to Negotiate

• •

  Anchor on total compensation, not just base

  • •Banking offers usually include bonus ranges that matter a lot.
  • •Ask for the base band plus target bonus percentage before you discuss your number.
• •

  Quantify business impact

  • •Bring numbers: pipeline latency reduced by X%, cost savings from warehouse optimization, SLA improvements, incident reduction.
  • •In banking interviews and negotiations, measurable reliability beats vague “I built ETL” language.
• •

  Price in regulated-environment experience

  • •If you’ve handled PII/PCI data safely or passed audits without findings, say it directly.
  • •That experience is expensive to hire for because mistakes are costly.
• •

  Use competing offers carefully

  • •New York banks respond to market pressure when the candidate is already interviewing with fintechs or asset managers.
  • •Don’t bluff; use real numbers and be specific about your current package and expectations.

Comparable Roles

• •Senior Data Engineer (Fintech): $180,000 - $250,000 base
• •Analytics Engineer (Banking): $145,000 - $200,000 base
• •Data Platform Engineer: $185,000 - $260,000 base
• •Machine Learning Engineer (Finance): $200,000 - $290,000 base
• •Software Engineer — Data Infrastructure: $175,000 - $245،000 base

If you’re choosing between these roles in New York:

• •Banking pays well when you own compliance-heavy systems.
• •Fintech pays similarly or higher when the stack is modern and the team is closer to product revenue.
• •ML engineering usually trends higher because it combines data engineering with model deployment and experimentation infrastructure.

Keep learning

• •The complete AI Agents Roadmap — my full 8-step breakdown
• •Free: The AI Agent Starter Kit — PDF checklist + starter code
• •Work with me — I build AI for banks and insurance companies

By Cyprian Aarons, AI Consultant at Topiax.