Data Advocate Engineer

Hugging Face

Data/Infrastructure Advocate Engineer driving community engagement and promoting data tools at Hugging Face. Collaborating with teams to enhance data workflows and support developers.

Posted 5/29/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonpandaspyarrowHugging FaceParquetOpen Table FormatsS3dataset versioningdeduplicationcompression

Soft Skills

communicationcommunity engagementcontent creationtechnical writingcollaborationpublic speakingtutorial developmentevent organizationinsight sharingproblem-solving

Tools & Technologies

Hugging Face HubDiscordGitHubforumsColabXetdatasetsbenchmarksvideosblog posts

Industry Keywords

developer relationsdeveloper advocacydata engineeringinfrastructureML toolsopen-sourcedata workflowsstorage optimizationdata-focused groupsengaged audience

Tech Stack

Tools & technologies

PandasPython

About the role

Key responsibilities & impact

Grow and nurture the open-source data/infra community: launch initiatives, collaborate with data-focused groups, and organize events or challenges
Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration, curating and showcasing datasets, benchmarks, and tools like Xet
Highlight use cases like efficient large-dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows
Create demos, benchmarks, and tools (for example Colab notebooks) that illustrate best practices for data storage and versioning, and experiment with Xet, Parquet, and other formats
Produce high-quality tutorials, blog posts, and videos that make complex topics accessible
Share insights on storage optimization, dataset versioning, and deduplication to empower developers
Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration
Make sure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases

Requirements

What you’ll need

3+ years in developer relations or developer advocacy, ideally for data engineering, infrastructure, or ML tools and platforms
An established public presence as a technical voice, with a track record of regularly publishing data/infra/ML content and a demonstrable, engaged audience on LinkedIn and X (Twitter)
A portfolio of developer-facing content you can point to: tutorials, blog posts, videos, demos, benchmarks, or conference talks
Hands-on experience building and engaging open-source or developer communities (Discord, GitHub, forums)
Strong Python skills
Hands-on experience with data libraries such as pandas, pyarrow, and huggingface/datasets
Practical experience with storage systems and formats: Parquet, Open Table Formats, and S3
Working knowledge of dataset versioning, deduplication, and compression
Ability to explain complex technical topics clearly through writing, demos, or talks
Fluent written and spoken English

Benefits

Comp & perks

Health, dental, and vision benefits for employees and their dependents
Parental leave
Flexible paid time off
Reimbursement for relevant conferences, training, and education
Flexible working hours and remote options