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Tech Careers in New York, United States

Data Engineer in New York: Salary & Job Market Guide

New York City is the world's financial capital and one of the deepest, most competitive job markets on earth, spanning finance, media, tech, fashion, and healthcare.

Estimated mid-level salary: $138,000 - $196,000

Estimates shown in Canadian dollar equivalents for comparison across cities. Local offers in New York are typically made in USD.

The New York Job Market for Data Engineers

  • Global headquarters for finance, banking, and asset management
  • Second-largest tech workforce in the US after the Bay Area
  • Media, advertising, and fashion capitals concentrated in Manhattan
  • Salaries among the highest globally, offset by a high cost of living

Top hiring industries in New York: Finance, Tech, Media, Healthcare, Fashion. For a data engineer, that means tailoring your resume to the sectors doing the most local hiring, and using the exact skill keywords those employers screen for.

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About the Data Engineer Role

Data engineers build the pipelines and platforms that move, clean, and organize data so analysts and machine learning systems can use it. As every company becomes data-driven, they have become some of the most sought-after builders in tech.

Skills New York employers look for

  • SQL at an expert level
  • Python
  • Data pipelines (Airflow, dbt)
  • Data warehouses (Snowflake, BigQuery)
  • Spark and distributed processing
  • Data modelling
  • Cloud platforms

For the full career path, salary bands by seniority, and complete FAQs, see the main Data Engineer career guide.

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Data Engineer in New York: FAQs

How much does a Data Engineer make in New York?
A mid-level Data Engineer in New York typically earns between $138,000 and $196,000 per year (shown in Canadian dollar equivalents for comparison; local offers are usually made in USD). Senior professionals and leads earn meaningfully more, and pay varies with company size and specialization.
What is the job market like for a Data Engineer in New York?
New York City is the world's financial capital and one of the deepest, most competitive job markets on earth, spanning finance, media, tech, fashion, and healthcare. Key strengths of the local market include: global headquarters for finance, banking, and asset management; second-largest tech workforce in the us after the bay area. The strongest hiring sectors are Finance, Tech, Media.
Is data engineering harder to enter than data science?
It is usually easier, because the market is less flooded and the skills are more concrete. Employers need people who can write solid SQL and Python and keep pipelines running; the interview bar is practical rather than research-oriented. Many frustrated data science applicants find offers faster after pivoting to data engineering.
What does a data engineering portfolio project look like?
An end-to-end pipeline: ingest a public API or dataset on a schedule, transform it with dbt or Spark, load it into a warehouse, and put a dashboard or data quality checks on top. Document the architecture in the README. This mirrors the actual job far better than any notebook analysis.

Data Engineer Jobs in Other Cities

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