Staff Data Engineer – AI Startup
- $175,000 - $215,000
- New York, NY
- Remote
AI Infrastructure startup is hiring for multiple data engineers ranging from senior to staff level to join the team
A bit about us:
Join a breakout team building the data backbone of AI—help us scale secure, high-impact systems at the intersection of privacy, performance, and multimodal learning.
This early-stage company is building a platform that enables AI developers to access critical training data—legally, securely, and at scale. Already in use across healthcare and media, the system handles complex data types like medical imaging, clinical notes, and licensed video. With fewer than 30 employees and $10M in seed funding from CRV, SV Angel, and Bloomberg Beta, this is a rare opportunity to shape core infrastructure at a company solving one of AI’s biggest bottlenecks.
This early-stage company is building a platform that enables AI developers to access critical training data—legally, securely, and at scale. Already in use across healthcare and media, the system handles complex data types like medical imaging, clinical notes, and licensed video. With fewer than 30 employees and $10M in seed funding from CRV, SV Angel, and Bloomberg Beta, this is a rare opportunity to shape core infrastructure at a company solving one of AI’s biggest bottlenecks.
Why join us?
Great Benefits, Remote Work, Growth Opportunity, Great Culture, PTO, 401K, and much more!
Job Details
Requirements (Must Haves):
Responsibilities
- Bachelor’s degree in Computer Science or a related field and a minimum of 6 years of data engineering experience
- Experience working at an early stage startup (required)
- Java (required) and Python (required)
- Comfortable building data infrastructure in AWS
- Hands-on with DBT for transformations, testing, and data ops (required)
- Prior work with Snowflake / Databricks
- Experience with at least 1 of these orchestration tools: Airflow, Prefect, or Dagster
- US Based
- Demonstrated ownership, grit, and interest in shaping the future of AI infrastructure.
Responsibilities
- Build and scale AWS-based data pipelines for ingest, transformation, validation, and orchestration.
- Develop and maintain orchestration systems using Airflow, Prefect, or Dagster.
- Create scalable workflows to handle complex, multimodal data including video, imaging, and structured documents.
- Use dbt to standardize transformation logic, testing, and data documentation.
- Optimize cloud compute and storage operations for performance and cost-efficiency.
- Contribute to architecture and development of core platform components.
- Drive ambiguous projects from ideation to production with full ownership.
- Help shape engineering practices and infrastructure from the earliest stages.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.