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Llm Data Engineer Jobs (NOW HIRING)

RA Capital Management, LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Partner with AI/ML engineers to enable LLM-powered data access. * Contribute to AI-native data access frameworks. * Collaborate with healthcare data vendors and internal stakeholders. * Implement ...

Lorven Technologies

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Hands-on experience developing LLM-powered applications . * Understanding of AI agent/harness engineering patterns and LLM application architecture. * Experience working with APIs, databases, data ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Apply AI-assisted engineering approaches, including LLM-enabled tools or agents, to improve data quality, observability, documentation, and productivity. * Identify data quality issues, bottlenecks ...

Vast

Senior Data Engineer

Long Beach, CA · On-site

$111K - $151K/yr

Vast is looking for a Senior Data Engineer, reporting to the Senior Director of Information Systems ... Familiarity with vector databases, knowledge graphs, and AI/LLM data architectures * Understanding ...

CLPS Global

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Hands-on experience developing LLM-powered applications . * Understanding of AI agent/harness engineering patterns and LLM application architecture. * Experience working with APIs, databases, data ...

Lorven Technologies

Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Our client is looking Data Engineer for Long Term project in Houston, TX (onsite only) Below is the ... LLM and Generative AI solutions, including: o Retrieval Augmented Generation (RAG) o Vector ...

New

Navisoft

AWS Data Engineer

Wilmington, NC · On-site

$125 - $150/hr

AWS Data Engineer We are seeking a skilled AWS Data Engineer with extensive experience in PySpark ... LLM * OpenAI * Azure #J-18808-Ljbffr

New

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. * Design, build, and maintain scalable data pipelines ...

C the Signs

AI Data Engineer

Boston, MA · On-site

$125 - $150/hr

Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. * Design, build, and maintain scalable data pipelines ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. * Design, build, and maintain scalable data pipelines ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. * Design, build, and maintain scalable data pipelines ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. * Design, build, and maintain scalable data pipelines ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. * Design, build, and maintain scalable data pipelines ...

Apple

AIML Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Design, build, and maintain scalable data pipelines that ingest, transform, and deliver support interaction data to LLM-based scoring systems Engineer features and data transformations that prepare ...

ARSquare Tech LLC

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Hands-on experience developing LLM-powered applications . * Understanding of AI agent/harness engineering patterns and LLM application architecture. * Experience working with APIs, databases, data ...

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Llm Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do llm data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for llm data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an LLM data engineer?

An LLM Data Engineer is a specialized data engineer who focuses on designing, building, and maintaining data pipelines and infrastructure to support large language models (LLMs) like GPT, BERT, or similar AI systems. Their responsibilities include collecting, cleaning, and organizing massive datasets used for training and fine-tuning LLMs, as well as ensuring data quality and scalability. They often work closely with data scientists, machine learning engineers, and researchers to optimize data workflows that enhance the performance and reliability of LLMs.

How does an LLM data engineer typically collaborate with data scientists and machine learning engineers during model development?

As a LLM Data Engineer, you'll work closely with data scientists and machine learning engineers by designing and maintaining data pipelines that supply high-quality, relevant datasets for large language model (LLM) training. This involves frequent communication to understand data requirements, preprocessing needs, and model feedback, ensuring that data is clean, annotated, and formatted correctly for experimentation. Collaboration often includes iterating on dataset creation, addressing issues such as data bias or imbalance, and supporting scalable infrastructure for large-scale model training. Your role is essential in bridging the gap between raw data and robust, high-performing language models.

What are the key skills and qualifications needed to thrive as an LLM data engineer, and why are they important?

To thrive as an LLM Data Engineer, you need strong expertise in data engineering, Python programming, and an understanding of large language models, along with a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, SQL/NoSQL databases, data pipelines (e.g., Apache Airflow), and experience with cloud platforms such as AWS or GCP are typically required. Excellent problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and adapt to evolving AI technologies. These skills are crucial to efficiently manage, process, and optimize large datasets that enable accurate and scalable language model solutions.

What are popular job titles related to Llm Data Engineer jobs?

For Llm Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Llm Data Engineer job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Research Data Engineer

Boston, MA • On-site

HotSpot Therapeutics, Inc
Biotechnology Research and Development • 11 - 50 employees
Learn more about HotSpot Therapeutics, Incexternal

$100 - $125/hr

Other

Posted 7 days ago

Key responsibilities

  • Lead the structuring, cleaning, and indexing of research datasets to prepare them for machine learning and ontology initiatives.

  • Own and maintain Python ETL pipelines for automated ingestion of external chemistry and biology experiment data.

  • Manage core research platforms, including database updates, routine maintenance, and user support for scientists.

Job description

Full-time hybrid role based in Boston, MA

SUMMARY:

We are seeking a hands‑on, execution‑driven Senior Research Data Engineer to scale and secure HotSpot’s growing data operations infrastructure. This role serves as a vital operational bridge between our core software/cloud architecture and our computational biology and laboratory teams.

RESPONSIBILITIES:
  • Lead AI & LLM Data Readiness: Architect and execute the strategy to structure, clean, and index our historical and incoming research datasets, making them fully ready for machine learning and advanced ontology initiatives.
  • Automate External Data Pipelines: Own and maintain robust Python ETL pipelines, ensuring seamless automated ingestion of chemistry and biology experiments from external CROs.
  • System Stewardship & Data Ops: Act as the primary technical steward for our core research platforms (including Revvity Signals ELN, Certara D360, and our internal data ingestion tool, Ladle), handling Oracle schema updates, routine database maintenance, and direct user support for our scientists.
  • Bridge Science and Engineering: Partner across disciplines to help scientists map biology and chemistry workflows into production templates, serving as a data continuity bridge that translates laboratory progress into scalable data models.
  • Drive Operational Follow-Through: Identify dependencies and critical paths in our data delivery pipelines, actively manage infrastructure risks, and provide clear technical context to leadership.
QUALIFICATIONS:
  • Advanced Scientific Background: PhD degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative life sciences discipline and a minimum of 2+ years of relevant industry experience or a combination of post‑doctoral and industry experience; MS degree in bioinformatics or related discipline with 5+ years of relevant industry experience may be considered.
  • Production‑Grade Engineering: Proven commercial or advanced hands‑on experience writing clean, maintainable Python code and advanced SQL queries. You know how to build software that stands up to production environments.
  • Cloud & Database Fluency: Demonstrated experience navigating cloud environments (AWS/GCP) and managing relational database schemas (Oracle, Postgres).
  • Execution‑Driven Planner: An autonomous problem‑solver who brings clarity to complex data dependencies, actively tracks technical risk, and handles firefighting or data cleaning with equal dedication.
  • Excellent Communicator: Ability to synthesize complex technical data constraints across disciplines and drive follow‑through in a lean, fast‑paced startup environment.
OUR BENEFITS:
  • Competitive salary and bonus plans
  • Comprehensive package of benefits plans and fringe benefits
  • Generous paid holidays, time off, including 2 company‑wide shutdowns
  • Amazing team of supportive colleagues
EEO STATEMENT:

HotSpot is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

VISAS:

At this time, HotSpot is not able to offer Visa sponsorship for this position. Candidates must be authorized to work in the United States without current or future sponsorship.

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