Data and Generative AI Engineer

Johnson & Johnson

Remote

Quick summary

Work type: Remote
Location: Raritan, NJ
Salary: $79,000–$127,650 / yr
Posted: 7 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k

This role $103k

$61k most similar roles pay here $251k

This role pays less than 99% of similar roles. Most pay $162,000–$224,325 — the shaded band above. At the midpoint, this role pays about $103k versus about $193k for comparable roles.

Based on 239 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 63 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 61 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Data and Generative AI Engineer

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Join our dynamic Intelligent Automation Engineering team as a Data and Generative AI Engineer to design and develop advanced data pipeline solutions using cloud technologies like Databricks. You will collaborate with cross-functional teams to implement data ingestion, transformation, and storage processes while ensuring data quality through rigorous testing. Your responsibilities include automating data pipelines, optimizing system performance, and presenting complex analyses to senior leaders for informed decision-making. Ideal candidates have at least 4 years of experience in software development, data engineering, and cloud technologies, with a strong background in Python, Databricks, and Generative AI frameworks such as LangChain or LlamaIndex. Knowledge of large language models, agentic architectures, and compliance standards is essential for this role that supports the innovative healthcare solutions at Johnson & Johnson.

Skills

Python Databricks AWS Azure Generative AI LLMs LangChain LlamaIndex Haystack RAG Agentic Frameworks Delta Lake Unity Catalog Delta Live Tables Data Pipelining ETL Cloud Technologies CI/CD

What you'll do

Design and develop software solutions for data technology teams.
Implement data ingestion, transformation, and storage processes using Databricks or equivalent tools.
Monitor system performance and resolve issues to meet service level agreements (SLAs).
Lead proof of concepts and minimal viable products hands-on.
Present complex analysis in simple terms to senior leaders using data visualization tools.
Automate data pipelines and orchestrate workflows for production-level work.
Stay updated with emerging technologies and apply them to the ecosystem.

What we're looking for

Minimum 4 years of industry experience in software development and data engineering.
Bachelor’s degree or equivalent in Computer Science, Engineering, Data Science, or related field.
Experience with large language models (LLMs) and generative AI concepts.
Hands-on experience integrating LLM APIs into applications and building simple agent workflows.
Strong Python skills and knowledge of cloud platforms like AWS and Azure.
Familiarity with Databricks, Delta Lake, and data pipelining technologies.
Excellent problem-solving, communication, and collaboration skills.

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