1

Temporary Data Engineer Jobs in New York (NOW HIRING)

Job Title Data Security Engineer About your role: As a Data Security Engineer, you design ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Showing results 41-60

Temporary Data Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do temporary data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for temporary data engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a temporary data engineer?

A Temporary Data Engineer is a short-term role responsible for designing, building, and maintaining data pipelines and infrastructure. These professionals help organizations collect, store, and process data efficiently, often working on specific projects or to support peak workloads. Temporary Data Engineers typically use SQL, Python, and cloud platforms to manage data workflows. The role may last for weeks or months, depending on the company's needs.

What are the typical daily responsibilities of a temporary data engineer?

As a Temporary Data Engineer, your day-to-day work often involves designing and maintaining data pipelines, cleaning and validating data, and implementing ETL processes to support business analytics or project objectives. You'll collaborate with data scientists, analysts, and other engineers to ensure data accuracy and system reliability, while troubleshooting issues or optimizing workflows as needs arise. Since this is a temporary role, you may also take on specialized short-term projects or support urgent business initiatives where fast, high-quality results are essential. The work environment is usually fast-paced, making adaptability and teamwork especially important for success.

What are the key skills and qualifications needed to thrive in the temporary data engineer position?

To thrive as a Temporary Data Engineer, you need a solid grasp of data modeling, ETL processes, and SQL or other database languages, often supported by a degree in computer science or a related field. Familiarity with cloud platforms like AWS or Azure, experience with big data frameworks such as Apache Spark, and possibly certifications like Google Professional Data Engineer are valuable. Strong problem-solving skills, the ability to quickly adapt to new environments, and effective communication are important soft skills in this role. These abilities are crucial because Temporary Data Engineers must rapidly contribute to projects, ensure data systems run smoothly, and collaborate efficiently during short-term assignments.

What are the most commonly searched types of Data Engineer jobs in New York?

The most popular types of Data Engineer jobs in New York are:

What job categories do people searching Temporary Data Engineer jobs in New York look for?

The top searched job categories for Temporary Data Engineer jobs in New York are:

What cities in New York are hiring for Temporary Data Engineer jobs?

Cities in New York with the most Temporary Data Engineer job openings:

AI Foundational Model Engineer

NTT DATA, Inc.

Jersey City, NJ • On-site

$139.87 - $209.81/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 225 rated it services


Job description

AI Foundational Model Engineer

We are currently seeking a AI Foundational Model Engineer to join our team in Jersey City, New Jersey (US).

Primary Ownership
  • Production LLM applications, RAG pipelines, AI services, and model-serving integrations.
  • End-to-end LLMOps/MLOps lifecycle from experimentation to deployment, monitoring, evaluation, rollback, and continuous improvement.
  • Model adaptation, inference optimization, APIs, observability, and operational readiness for GenAI solutions.
Key Responsibilities
  • Design and implement LLM-powered applications such as knowledge assistants, document intelligence solutions, workflow agents, summarization tools, and decision-support systems.
  • Build RAG pipelines using embeddings, chunking strategies, vector databases, semantic retrieval, reranking, response grounding, and citation patterns.
  • Adapt and optimize models using LoRA, PEFT, instruction tuning, distillation, transfer learning, quantization, and domain adaptation techniques.
  • Develop scalable APIs, microservices, model-serving components, and integration patterns across cloud, hybrid, or containerized environments.
  • Optimize inference workloads for latency, throughput, token efficiency, cost, reliability, and user experience.
  • Implement model and application observability, including prompt logs, retrieval quality, hallucination indicators, drift signals, feedback loops, cost telemetry, and service health.
  • Embed security, privacy, Responsible AI, and model risk controls into AI application design and delivery.
  • Create production documentation, runbooks, release notes, test evidence, and audit-ready implementation records.
Must-have Candidate Profile
  • 7+ years in AI/ML engineering, platform engineering, software engineering, or applied machine learning.
  • Hands‑on experience with LLMs, transformers, embeddings, RAG, semantic search, and GenAI application patterns.
  • Strong Python engineering skills with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
  • Experience deploying production AI services using APIs, containers, Kubernetes, CI/CD, cloud‑native services, and monitoring platforms.
  • Practical knowledge of model evaluation, fine‑tuning, inference optimization, and secure data handling.
Preferred Experience
  • Banking, risk, compliance, financial crime, operations, or enterprise technology background.
  • Experience with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks, vLLM, Triton, MLflow, Kubeflow, or model gateways.
  • Exposure to model risk, AI governance, audit controls, AI cost governance, and private or open‑source LLM deployments.
Compensation

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the nature of the role offered and will either be <$139,872 - $209,808>, or <$80-$100> if the role is hired as a temporary position.

Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered is temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

Location & Work Arrangement

The role is located in Jersey City, New Jersey. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

EEO Statement

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

#J-18808-Ljbffr

What NTT Data employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


NTT DATA logo

About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967