Data Engineer: Build Scalable Data Pipelines

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

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.