Data Engineer Jobs in New York, USA

Looking for a data engineer job in New York? Choose from 41 open roles at 24 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

41 Open roles
24 Companies hiring
241K Average salary

What do Data engineers in New York work on?

Most of the work described in these postings centres on designing and maintaining data pipelines that move, transform, and serve data at scale. Several roles at Anthropic, for example, focus specifically on platforms built to support machine learning researchers โ€” the Software Engineer, Research Data Platform role involves building APIs and tools for training-data exploration, while the Engineering Manager, Research Data Platform sits above that work, owning datasets end-to-end and shaping technical direction.

At Schonfeld, the AI Data Engineer builds pipelines for an internal investment platform, handling both structured and unstructured data. Capital One's two lead-level postings โ€” one focused on cloud data solutions and another adding Kafka and omnichannel messaging โ€” involve leading teams inside Agile programmes. At EvolutionIQ, the Senior Analytics Engineer spans warehouse design, ETL/ELT pipelines, and data quality standards. Across the sample, AI and generative AI context appears repeatedly in titles and summaries, suggesting many teams are integrating these concerns into core data infrastructure work.

Skills and experience employers ask for

Python and SQL appear in a clear majority of postings in this set, making them the most consistently requested tools. Spark features in more than half, and AWS and Snowflake are mentioned at roughly the same frequency. Airflow, Kafka, and API design appear in a meaningful minority. Kubernetes, Java, and CI/CD appear less often. These counts reflect mentions in job descriptions across all forty postings, not formal requirements, so frequency alone should not be read as necessity.

Python 83%
SQL 68%
Spark 56%
AWS 41%
Snowflake 41%
APIs 39%
Airflow 37%
GCP 24%
Kafka 24%
Agents 20%
Evaluation 20%
CI/CD 20%
Kubernetes 17%
Java 17%

Data Engineer roles that state a salary

The employers' own advertised ranges, for individual roles at different levels โ€” not an average and not a market rate.

New York office, hybrid or remote?

The majority of postings on this page specify fully on-site work in New York. A smaller portion state hybrid arrangements, and only a very small number are listed as remote. No postings have an unknown work mode. Candidates should check individual listings for details about which days on-site attendance is expected for hybrid roles, as that information is not consistently stated across the sample. Remote postings do not always clarify whether location restrictions apply.

Make your application specific to the work

  1. Check the seniority fit Senior and lead designations make up a significant share of these postings, with junior representation rare. Review your pipeline-ownership and, where relevant, team-leadership experience before applying to those levels.
  2. Read the tool requirements carefully Many postings name a specific combination of Python, SQL, Spark, and a cloud platform; some also require Kafka or Snowflake. Match your practical experience against the stack listed in each posting rather than assuming general data engineering experience is sufficient.
  3. Note the degree and visa position At least two of the sample summaries explicitly require a bachelor's degree. Visa sponsorship is not stated in most postings on this page, so you should confirm eligibility directly with each employer if that is relevant to you.
  4. Prepare for the AI context Several postings, including those at Anthropic and Schonfeld, are embedded in machine learning or AI platform teams. Be ready to discuss how your pipeline work has served model training, inference, or evaluation workflows if you apply to those roles.

Questions about Data Engineer jobs in New York

Only a small number of postings on this page advertise pay. Among those that do, the stated ranges vary considerably by seniority and company โ€” from around 185,000 dollars at the lower end for an analytics engineer role to over 340,000 dollars for a staff-level data platform engineer. These figures are individual advertised ranges from specific employers, not a market-wide benchmark.

Very few postings on this page are listed as remote. The majority specify fully on-site work, with a smaller portion offering hybrid arrangements. If remote work is important to you, the available options in this set are limited.

Degree requirements are not stated consistently across the postings. At least two of the sample summaries explicitly ask for a bachelor's degree. For the remainder, degree eligibility is not stated and should be confirmed with the individual employer.

Anthropic has the highest number of postings on this page, followed by Point72 and The New York Times. Schonfeld, Capital One, Harvey, CoreWeave, and Jane Street each have multiple listings. All named employers are drawn directly from the postings on this page.

Senior and lead-level roles account for a large share of postings with a stated seniority level. There is almost no entry-level representation in this set. A notable portion of postings do not specify a seniority level at all, so reading the description and requirements closely is necessary to judge fit.

Jobs checked 11 hours ago. ยท Guide reviewed 9 September 2026.