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Data Engineer

Allyndpartners

Los Angeles (CA)

On-site

USD 90,000 - 150,000

Full time

8 days ago

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Job summary

Join a pioneering healthcare AI startup as their first Data Engineer, where you'll have the unique opportunity to build scalable data systems from the ground up. This innovative role allows you to design and implement real-time data pipelines that directly influence clinical decisions. As part of a remote-first team, you'll collaborate with data scientists and AI engineers to operationalize analytics and ensure data integrity and governance. With competitive compensation and early-stage equity, this position offers a chance to make a significant impact in a meaningful domain while enjoying flexible work hours and a supportive environment.

Benefits

Competitive salary + early-stage equity
Remote-first team with flexible hours
Health insurance
Dental insurance
Vision insurance
Wellness stipend
Generous PTO policy
Ground-floor opportunity to shape a data-first organization

Qualifications

  • Expert-level skills in Python or Scala required.
  • Experience with Spark, dbt, and Airflow is essential.
  • Strong SQL and data modeling expertise needed.

Responsibilities

  • Design and build scalable data pipelines and ETL frameworks.
  • Develop real-time ingestion systems for ML model deployment.
  • Maintain the company's data infrastructure and lakehouse.

Skills

Python
Scala
Spark
dbt
Airflow
AWS
SQL
Docker
CI/CD
Terraform

Tools

AWS Glue
AWS S3
AWS Redshift
Snowflake
BigQuery

Job description

Build the Data Backbone of a Healthcare AI Startup
Join a stealth-mode healthcare venture as their first Data Engineer and lay the groundwork for real-time, high-impact data systems that power clinical decisions

Industry: Healthcare AI
Domain: Real-time patient data analytics
Location: San Francisco / Austin TX / Remote (U.S. only)

About the Role

Youll be the founding Data Engineer at a healthcare AI startup backed by a leading Data/AI-focused VC firm. This role is ideal for someone who loves building from scratch and wants their work to have immediate impact in a deeply meaningful space.

What Youll Do

  • Design and build scalable data pipelines and ETL frameworks
  • Develop real-time ingestion systems to support ML model deployment
  • Partner with data scientists and AI engineers to operationalize analytics
  • Architect and maintain the companys data infrastructure and lakehouse
  • Ensure data integrity, governance, and security protocols

What Youll Bring

  • Expert-level Python or Scala skills
  • Hands-on experience with Spark, dbt, Airflow
  • Proficiency in AWS (Glue, S3, Redshift), Snowflake, or BigQuery
  • Strong SQL and data modeling expertise
  • Familiarity with Docker, CI/CD, Terraform

Benefits

  • Competitive salary + early-stage equity
  • Remote-first team with flexible hours
  • Health, dental, and vision insurance
  • Wellness stipend + generous PTO policy
  • Ground-floor opportunity to shape a data-first organization

Work Authorization

Applicants must be authorized to work in the U.S. We are not able to sponsor work visas at this time or in the future.

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