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Prompt Engineer Data Analysis Jobs (NOW HIRING)

Inizio Partners Corp

Prompt Engineer

New York, NY · Hybrid

Prompt Design & Optimization * Design prompts for - summarization, risk insights, adverse media ... Education: Bachelor's/Master's in Engineering, Data Science, Business Analytics, or related

Purple Drive Technologies

Prompt Engineer

Mclean, VA · On-site

Salesforce AI Integration Leverage Salesforce Einstein and Agent force for predictive analytics ... Ensure compliance with enterprise security, data privacy, and ethical AI guidelines. Managerial ...

Staffingine LLC

Prompt Engineer

San Jose, CA · On-site

Analyze model outputs to improve accuracy reasoning quality and reliability * Work closely with product and engineering teams to integrate prompts into production systems * Create prompt libraries ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · Remote

Testing, QA & Optimization - Ability to perform unit testing, root cause analysis, quality ... including data structures, algorithms, software architecture, and system design • Experience ...

H&W Electrical Corporation

Be Seen First

Prompt Engineer

Greenville, SC · On-site

$70K - $115K/yr

... analysis • Stand up local LLM infrastructure where it makes sense for cost, latency, or data sensitivity; decide when to fine-tune vs. prompt engineer vs. retrieve • Design and maintain the data ...

Cantina

Prompt Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Support research and ML in our training efforts by delivering meta-prompts for our synthetic data ... prompt engineering and developing LLM-based features end-to-end. * Strong experience writing ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · On-site

Testing, QA & Optimization - Ability to perform unit testing, root cause analysis, quality ... including data structures, algorithms, software architecture, and system design • Experience ...

Forhyre

OH

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy. * Stay up-to ...

CACI International, Inc.

AI Prompt Engineer

Ashburn, VA · On-site

Iterative Testing & Analysis: Conduct testing to compare prompt variations, analyze results drive ... Problem-solving skills, with a data-driven approach to experimentation and optimization. * Witten ...

CACI International, Inc.

AI Prompt Engineer

Ashburn, VA · On-site

Iterative Testing & Analysis: Conduct testing to compare prompt variations, analyze results drive ... Problem-solving skills, with a data-driven approach to experimentation and optimization. * Witten ...

Forhyre

Prompt Engineers

Sunnyvale, CA

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy. * Stay up-to ...

CACI International, Inc.

AI Prompt Engineer

Ashburn, VA · On-site

Iterative Testing & Analysis: Conduct testing to compare prompt variations, analyze results drive ... Problem-solving skills, with a data-driven approach to experimentation and optimization. * Witten ...

Forhyre

Prompt Engineers

Plano, TX

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy. * Stay up-to ...

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All JobsPrompt Engineer Data Analysis Jobs

Prompt Engineer Data Analysis information

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$51.5K

$147.5K

$197K

How much do prompt engineer data analysis jobs pay per year?

As of Jun 11, 2026, the average yearly pay for prompt engineer data analysis in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What is a Prompt Engineer in Data Analysis?

A Prompt Engineer in Data Analysis is a professional who designs, tests, and optimizes prompts for AI models to extract accurate and actionable insights from data. They leverage large language models (LLMs) or generative AI tools to automate and enhance data analysis tasks, such as generating reports, summarizing datasets, or answering complex analytical questions. This role combines knowledge of data analysis, programming, and AI model behavior to ensure that the outputs are precise, reliable, and relevant to business needs.

How does a Prompt Engineer specializing in Data Analysis typically collaborate with data scientists and analysts on projects?

As a Prompt Engineer in Data Analysis, you’ll work closely with data scientists and analysts to design, refine, and optimize prompts for AI models that support data-driven tasks. This often involves translating business questions into effective prompts, iteratively testing outputs, and incorporating feedback to improve model accuracy and relevance. Collaboration is highly interactive, with regular meetings to discuss project objectives, share findings, and troubleshoot prompt-related challenges together. Your expertise helps bridge the gap between technical AI capabilities and the practical needs of the data analysis team.

What are the key skills and qualifications needed to thrive as a Prompt Engineer in Data Analysis, and why are they important?

To thrive as a Prompt Engineer in Data Analysis, you need expertise in natural language processing, data analysis, and machine learning, typically supported by a background in computer science or a related field. Familiarity with prompt engineering tools (like OpenAI's API), data visualization platforms, and programming languages such as Python is essential. Strong analytical thinking, creativity, and clear communication are standout soft skills for interpreting data requirements and crafting effective prompts. These skills ensure accurate, relevant data insights and optimize the performance of AI-driven analytical systems.
What cities are hiring for Prompt Engineer Data Analysis jobs? Cities with the most Prompt Engineer Data Analysis job openings:
What states have the most Prompt Engineer Data Analysis jobs? States with the most job openings for Prompt Engineer Data Analysis jobs include:
Infographic showing various Prompt Engineer Data Analysis job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

Prompt Engineer

Inizio Partners Corp

New York, NY • Hybrid

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role & Responsibilities Overview:

  • Prompt Design & Optimization
  • Design prompts for - summarization, risk insights, adverse media analysis, underwriter assistant agent etc.
  • duplicate explanation, decision support
  • Optimize prompts for accuracy, grounding, and consistency

Evaluation & Continuous Improvement

  • Define evaluation scenarios and validation datasets
  • Use LLM-as-judge and feedback loops to improve responses
  • Continuously refine prompts based on - model performance, user feedback

RAG & Assistant Enablement

  • Work with AI engineers to - improve retrieval quality, design context injection strategies
  • Ensure outputs are – grounded, explainable, aligned with underwriting logic

Business Alignment

  • Translate underwriting workflows into prompt logic
  • Incorporate domain-specific language, risk indicators, and business rules
  • Collaborate with underwriters and SMEs

Prompt Governance

  • Maintain prompt library and versioning
  • Define templates for different LOBs and use cases
  • Ensure consistency across assistant and workflows

Candidate Profile:

  • Experience: 5–8+ years with 2–4+ years in GenAI / prompt engineering
  • Domain (Mandatory): Strong insurance / underwriting knowledge
  • Education: Bachelor's/Master's in Engineering, Data Science, Business Analytics, or related
  • Profile Type: Hybrid business + technical, strong analytical thinker

Technical skills:

  • GenAI & Prompting - prompt engineering techniques (few-shot, chain-of-thought, structured prompts);Experience with Azure OpenAI / LLM APIs; Prompt versioning and optimization
  • RAG & Retrieval Awareness - understanding of Azure AI Search and retrieval behavior; Context design and grounding strategies; Ability to reduce hallucinations via prompt + retrieval design
  • Evaluation & Quality - LLM-as-judge / evaluation frameworks; Output validation and benchmarking; A/B testing of prompts
  • Safety & Governance - Awareness of guardrails (NeMo Guardrails); PII handling (Presidio); Responsible AI practices
  • Collaboration & Tools - Familiarity with APIs, JSON, and structured outputs; Basic Python; Working with AI engineers and data teams