Data Engineer
ALLYND, LLC
Los Angeles, CA, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Airflow
Amazon Web Services
Amazon S3
Data Analysis
BigQuery
Databases
Continuous Delivery
Continuous Integration
Data Infrastructure
Data Integrity
Extract Transform Load (ETL)
+12 more
Python (Programming Language)
Machine Learning
Systems Development Life Cycle
Standard Sql
SQL Databases
Snowflake
Apache Spark
Build Management
Data Management
Terraform
Data Pipelines
Docker
Job 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
Requirements
- 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
Benefits & conditions
- 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
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