Data Engineer

AllyNd Partners; Los Angeles (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Early-stage equity

Health, dental, and vision insurance

Wellness stipend

Generous PTO policy

Job summary

A healthcare AI startup is seeking a founding Data Engineer to design and build scalable data systems that will directly impact clinical decisions. In this role, you'll develop data pipelines and collaborate with data scientists to optimize analytics. Ideal candidates will have expert-level skills in Python or Scala, experience with tools like Spark and Airflow, and strong SQL expertise. This position offers a competitive salary, equity options, and a flexible work environment.

Qualifications

• Expert-level skills in Python or Scala are essential.
• Hands-on experience with data processing tools like Spark, dbt, and Airflow is required.
• Strong SQL and data modeling expertise is expected.

Responsibilities

• Design and build scalable data pipelines and ETL frameworks.
• Partner with data scientists and AI engineers to operationalize analytics.
• Architect and maintain the company's data infrastructure and lakehouse.

Skills

Expert-level Python or Scala skills

Hands-on experience with Spark, dbt, Airflow

Strong SQL and data modeling expertise

Tools

AWS (Glue, S3, Redshift)

Snowflake

BigQuery

Docker

CI/CD

Terraform

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
• 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
• 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.