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# Data Engineer

- **Company:** ALLYND, LLC
- **Location:** Los Angeles, CA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, BigQuery, Databases, Continuous Delivery, Continuous Integration, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Systems Development Life Cycle, Standard Sql, SQL Databases, Snowflake, Apache Spark, Build Management, Data Management, Terraform, Data Pipelines, Docker
- **Published:** July 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-los-angeles-ca--a5e2668d-979e-475c-870c-44e9a6ddf679

## About the Role

* 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, 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., Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Artificial Intelligence (AI), Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Database Extract Transform and Load (ETL), Dental Insurance, Docker, Healthcare, SQL (Structured Query Language), Scalable System Development, Security Protocols, Startup, Venture Capital, Vision Plan

## Description

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


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